50 Postdoctoral Fellowships at Harvard University, Massachusetts

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Are you holding PhD degree and looking for Postdoctoral Fellowships? Harvard University, Massachusetts, USA inviting application for multiple Postdoctoral Fellowships. Harvard University is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

Harvard University has huge a campus in Massachusetts and widely known as for its contribution in top notch education and research. The contribution of Harvard University is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc..

1. Postdoctoral Fellow in Atmospheric Chemistry Modeling

Summary of Postdoctoral Fellowship:

A postdoctoral position is available in the Atmospheric Chemistry Modeling Group at Harvard University. Visit us at http://acmg.seas.harvard.edu/. The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Applicants should have a Ph.D. in atmospheric science and substantial experience in 3-D modeling of atmospheric composition. Experience with GEOS-Chem and with inverse analysis is a plus.

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2. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Center for Communicable Disease Dynamics (CCDD) at the Harvard T.H. Chan School of Public Health invites creative and motivated researchers to apply for at least four post-doctoral fellowship positions to work with our faculty on projects that focus on the study of pandemic response and dynamics. Multiple positions are available across a range of different projects. These projects include ones focusing on quantitative methods to assess the immunological determinants of continued transmission with successive variants; the use of wastewater data to inform situational awareness; modeling evolution of vaccine escape and evasion; examining within-host evolution and dynamics and relating them to population-level epidemiology, evolution, and emergence; assessment of drivers of inequity in surveillance, modeling, and disease burden with a focus on identifying gaps and how to address them.

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3. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy. The successful applicant will work directly with Dr. John Quackenbush, but will be part of a community of researchers consisting of Dr. Quackenbush, Dr. Kimberly Glass, Dr. John Platig, and Dr. Camila Lopes-Ramos, and members of their research teams.

Last Application Date: Open Until Filled

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4. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The team of Dr. Elena Rivas has an NSF-funded postdoctoral position available for up to 3 years, in the Department of Molecular and Cellular Biology at Harvard University. We are seeking postdocs in computational biology working at the interface of probabilistic and evolutionary models interested in remote homology problems. The research project aims to bring homology detection to the next level by integrating probabilistic evolutionary models in order to transfer the learned homology models trained on present-day data into the realm of unseen remote homology or to reconstruct ancestral sequences. By tuning to more divergence, the evolved models may reveal new homologs that cannot be detected by current models expanding the phylogenetic range of a gene; and synthesized divergent sequences may suggest homologies that should be there, but they are not, thus revealing clade-specific genes. Conversely, reconstruction and comparison of ancestral amino acid sequences may reveal homologies that cannot be detected in present-day proteins establishing homologies between currently assumed disconnected protein families.

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5. Postdoctoral Research Fellow – Mississippi Delta Partnership in Public Health

Summary of Postdoctoral Fellowship:

The Delta Teaching Fellow in Public Health will be a key member of the Delta Program. The fellowship job tasks will focus on research, teaching, and mentoring of Delta scholars supported by Harvard Chan – these will primarily be students at Historically Black Colleges and Universities (HBCUs) in Mississippi. There are additional duties in program management and community engagement to support program work. The primary duties will include teaching and data analysis under the guidance of the program director, Bizu Gelaye, Ph.D., M.P.H., a faculty member in the Department of Epidemiology. S/he will develop content and materials for teaching epidemiologic methods and data analysis, serving as an instructor for Delta scholars. The Teaching Fellow will also manage research projects from their initial development through the publication of findings in journals. The research will be in the areas of perinatal epidemiology, chronic disease epidemiology, social epidemiology and nutritional epidemiology. Specific projects will be determined based on discussions with stakeholders in Delta Directions leadership, community-based stakeholders in Mississippi, and faculty at Harvard Chan. In addition, the Delta Teaching Fellow may work on independent research projects in collaboration with Mississippi partners that impact public health in the state. The research will be under the supervision of Harvard Chan Faculty, Mississippi State University, and University of Mississippi faculty mentors focused on topics relevant to the Mississippi Delta region.

Last Application Date: Open Until Filled

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6. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The successful candidate will work with Drs. Curtis Huttenhower and Wendy Garrett on overall scientific coordination for the Human Microbiome Bioactives Resource (HMBR, http://microbiome-bioactives.org), and particularly on its integration with the Harvard Chan Microbiome in Public Health Center (http://hcmph.sph.harvard.edu) as one of the HCMPH’s flagship research projects. He or she will be responsible for high-level scientific planning, reporting, outreach, and mentoring for the project, working with both computational and experimental scientists in multiple labs collaborating on the HMBR. This will include the opportunity to carry out new projects under the HMBR umbrella, including preparation of manuscripts with the team of HMBR students and postdoctoral fellows, funding agency (NIH NIDDK) reporting, and coordination with the broader HCMPH.

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7. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Department of Psychology at Harvard University invites applications for a postdoctoral fellow in any of the following areas. Clinical Science Cognition, Brain, and Behavior Developmental Psychology, Social Psychology. The Department of Psychology sits within the Division of Social Science, which is strongly committed to creating and supporting a diverse workforce. Respect and fairness, kindness and collegiality, and trust and transparency are among the values we espouse and promote in our workplace culture. We work hard to ensure a healthy, inclusive, and positive environment where everyone does their best work in support of Harvard’s mission. Learn more about our commitment to diversity, inclusion, and belonging in our departmental diversity statement.

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8. Postdoctoral Fellow in Material Science & Mechanical Engineering

Summary of Postdoctoral Fellowship:

Four postdoctoral positions in the Materials Intelligence Research group of Prof. Boris Kozinsky at Harvard University are open to develop and apply first principles and machine learning methods for computational materials physics and chemistry. Applications include investigation and design of catalysts, soft materials, energy conversion and storage materials, power electronics and thermoelectrics. The desired technical qualifications are experience with DFT or quantum chemistry calculations, method development and implementation of high-performance scientific software, with GPU capability, machine learning methods and automated computing workflows. Education requirement: PhD in Physics, Chemistry, Materials Science or related fields.

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9. Postdoctoral Research Fellowship – Maternal Nutrition and Perinatal Health

Summary of Postdoctoral Fellowship:

The Nutrition and Global Health Program in the Department of Global Health and Population, at the Harvard T.H. Chan School of Public Health is seeking a highly motivated postdoctoral researcher with an interest in global health, perinatal epidemiology, and maternal/child/adolescent health. The Postdoctoral Research Fellow will contribute to the conduct of clinical trials and prospective cohort studies conducted in partnership with institutions in Africa and Asia. This position provides the opportunity to develop and extend skills in statistical analysis, draft grant proposals, create analytical frameworks, and author manuscripts for publication. All activities will be conducted in close collaboration with investigators and study personnel in Boston and collaborators.

Last Application Date: Open Until Filled

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10. Postdoctoral Research Fellow Positions in (i) Network Science and (ii) Biomedical Smartphone Research

Summary of Postdoctoral Fellowship:

The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for two-year Postdoctoral Research Fellow positions. These positions involve developing statistical methods, data analytic tools, and mathematical models for analyzing two different types of systems. In the first area, statistical network science, we develop methods that are at the intersection of statistical learning and network science with applications in social and biological networks. In the second area, smartphone-based digital phenotyping, we develop tools and methods for analyzing data collected by our smartphone platform. Our ongoing applied studies in this area involve diverse patient populations from neurology to psychiatry and oncology. The candidates can focus on one of these areas only or may work across both, depending on interests and expertise.

Last Application Date: Open Until Filled

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11. Postdoctoral Research Fellow in Biostatistics

Summary of Postdoctoral Fellowship:

The Postdoctoral Research Fellow in Biostatistics at the Harvard T. H. Chan School of Public Health will develop methodology in the areas of longitudinal and survival data analyses. The application of the methods will be used in epidemiologic studies. The selected candidate will work with Prof. Molin Wang (HSPH), Prof. Donna Spiegelman (Yale), Prof. Bernard Rosner and their collaborators. More specifically, the selected candidate be involved with two main projects: 1) Statistical Methods to Account for Exposure Uncertainty in Environmental Epidemiology (MEEE): The selected candidate will focus on methodologic innovations in several critical areas of environmental health related to the effects of multiple constituents of air pollution and of aspects of the neighborhood environment on risks of cardiovascular disease incidence, its precursors and consequences. The methodologic innovations to be developed will address the unique measurement error features of these data, and will make it possible to accurately quantify the effects of complex single and multiple simultaneous exposure effects across space and time, responding to another NIEHS strategic priority, on critical health outcomes across the life course, overcoming bias and loss of efficiency otherwise present due to the presence of substantial measurement error.

Last Application Date: Open Until Filled

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12. Postdoctoral Fellow in the Study of Historical Psychology in Latin Texts

Summary of Postdoctoral Fellowship:

We seek a postdoctoral fellow with research experience in computational approaches to language and literature to work on a cross-institutional project to develop methods for the study of historical psychology in Latin texts. This is a one-year full-time position beginning in September 2022 and potentially renewable for one additional year. Besides regular meetings with the project PI, Joe Henrich (Harvard University, Culture, Cognition, and Coevolution Lab) and co-PI, Jonathan Schulz (George Mason University), the position will entail close collaboration with the Quantitative Criticism Lab, co-directed by Joseph Dexter (Harvard University). The aim of the project is to develop computational methods for the study of diachronic changes in psychology based on current research in the social sciences and developments in computational text analysis for Latin and other pre-modern languages. The work forms part of a larger multi-institutional project, funded by the Templeton Foundation, entitled “Religion, Family Structure and the Origins of Individual Freedom and Economic Prosperity.”

Last Application Date: Open Until Filled

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13. Postdoctoral Research Fellow in Maternal, Newborn, and Child Health Epidemiology

Summary of Postdoctoral Fellowship:

The HaSET (“happiness” in Amharic”) Maternal and Child Health Research Program at the Harvard T.H. Chan School of Public Health and Boston Children’s Hospital is seeking a highly motivated postdoctoral research fellow with an interest in reproductive, perinatal, and pediatric epidemiology and maternal and child health. The Postdoctoral Research Fellow will have opportunities to work on large-scale datasets, including cohort and surveillance data from low- and middle-income countries. The successful candidate will develop and extend skills in statistical analysis, create analytical frameworks, develop protocols, monitor data quality, and collaborate on manuscripts and grant proposals. The fellow will focus on answering questions related to pregnancy and child health outcomes and causes of morbidity and mortality. Research may include developing risk stratification models, causal inference methods, and analyzing large datasets. There is opportunity for training and mentoring students at Harvard and trainees at partner institutions in Ethiopia.

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14. 2023-24 Mahindra Humanities Center Postdoctoral Fellow

Summary of Postdoctoral Fellowship:

The Mahindra Humanities Center invites applications for six one-year postdoctoral fellowships on the topic of the environmental humanities, drawn from any humanistic discipline. We interpret the environmental humanities in the broadest terms, to include all parts of the world and historical eras. Topics may include (but are not limited to) humanistic approaches to climate change, biodiversity, social justice, environmental justice, food justice, regenerative practices, gardening, landscape, urban foraging, health, and animal studies. We welcome applications from scholars in all fields whose work innovatively engages with the environment and the humanities. In addition to pursuing their own research projects, fellows will be core participants in the bi-weekly seminar meetings for both academic semesters of the fellowship. Other participants will include faculty and graduate students from Harvard and other universities in the region, and occasional visiting speakers. Fellows will also be encouraged to engage with the Center’s existing Environment Forum and the Center’s new initiative, the Intergenerational Humanities (I-HUM) Project on the theme of “Place and Planet.”

Last Application Date: Open Until Filled

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15. Postdoctoral Fellow in Biomedical Control

Summary of Postdoctoral Fellowship:

The Doyle research group has worked at the forefront of algorithm development for the artificial pancreas for over 2 decades. There are a number of new postdoc projects in the lab, with opportunities for candidates with strong computational modeling and automatic control skills, ideally with some experience in biomedical applications. Other projects will focus more on data analytics, drawing on tools from machine learning, especially classification. Examples of application themes include glucagon modeling & control, and exercise detection & classification for diabetes.

Last Application Date: Open Until Filled

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16. Postdoctoral Fellow in Biomedical Control

Summary of Postdoctoral Fellowship:

The aims of this Army-funded study are identifying, validating and characterizing blood-based diagnostic biomarkers for post-traumatic stress disorder (PTSD). Harvard is part of a collaborative consortium of researchers that includes NYU, UCSF, Mt. Sinai School of Medicine, the Institute for Systems Biology, and the Army Center for Environmental Health Research. At Harvard, the team continues to work on (i) optimizing the panel of heterogeneous (multi-omics) markers for diagnosing PTSD, (ii) identifying dysregulated subnetworks that are related to glucocorticoid receptor regulation and Fc epsilon R1 signaling in PTSD based on changes in DNA methylation patterns, (iii) constructing, validating and characterizing polygenic risk profiles for PTSD, and (iv) identifying mechanisms underlying metabolic dysfunction in PTSD with a network based mathematical modeling using correlational and causal analysis. In the next phase of the project, in addition to refinement and further validation of these results on larger independent cohorts, we aim to characterize their properties by investigating the impact of comorbidity, demographic factors, and symptom severity range on biomarker performance. We also plan to enhance and refine (for example, by focusing on subsets of features or updating parameters) the panels as necessary with the ultimate goal of building a robust PTSD diagnostic biomarker panel.

Last Application Date: Open Until Filled

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17. Postdoctoral Fellowship in Computer Vision at Harvard University

Summary of Postdoctoral Fellowship:

The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. The successful applicant will apply cutting edge computer vision and machine learning approaches (e.g., segmentation, object detection, tracking, image registration) to process and analyze image data. In addition to working closely with collaborators, industry partners, and graduate students on research projects, the candidate is expected to actively participate in writing grant proposals. Candidates should have a substantial publication history in top computer vision/machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.) and good teamwork and communication skills. Experience in deep learning and demonstrated capability to produce workable solutions from theoretical formulations is highly preferred. The position is available immediately, with guaranteed funding for two years. Please submit a cover letter, your CV, and at least three references.

Last Application Date: Open Until Filled

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18. Post-Doctoral Fellow in Chemistry and Chemical Biology

Summary of Postdoctoral Fellowship:

We are seeking motivated, bright scientists to join our antibiotics drug discovery and development team in the Department of Chemistry and Chemical Biology at Harvard University (Andrew G. Myers Research Group). Key Responsibilities: A postdoctoral fellow will be required to design and synthesize novel, fully synthetic antibiotics in quantities suitable for in vitro study. A postdoctoral fellow will also be required to design synthetic routes capable of delivering complex target molecules on large scale to enable in vivo study.

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19. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Ölveczky (olveczkylab.oeb.harvard.edu) and Uchida (projects.iq.harvard.edu/uchidalab/home) labs at Harvard University are seeking a postdoc to join a collaborative team probing social interactions in rats and the role of dopamine in regulating these in both normal individuals and in genetic models of autism. The project will combine sophisticated machine learning-based behavioral tracking with photometric measurements of dopamine in different parts of the striatum of freely behaving animals. The position is fully funded, and interested applicants should contact either Dr Ölveczky or Uchida, with a CV and statement of purpose.

Last Application Date: Open Until Filled

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20. Biodiversity Postdoctoral Fellowship

Summary of Postdoctoral Fellowship:

The Biodiversity Postdoctoral Fellowship program supports postdoctoral researchers at the Museum of Comparative Zoology (MCZ) at Harvard University to pursue the discovery and formal taxonomic description of Earth’s animal species. Fellows will work under the supervision of one or more MCZ faculty-curators, who will provide office space, access to lab facilities and necessary research support. The program aims to achieve broad taxonomic coverage and is not restricted to any particular taxon. Originally designated as the E. O. Wilson Postdoctoral Fellowship (2019-2022), this program initiated through generous seed funding by the late Faculty-Curator Emeritus and University Research Professor Emeritus, and with support from additional donors. The change in the name of this program reflects our commitment to encourage diversity, equity and inclusion initiatives as part of our core values. Memorial recognition awards disproportionately commemorate only a small fraction of scholars, typically those from privileged backgrounds, as well as individuals whose personal viewpoints may, with time, be at odds with the mission of the MCZ to foster a diverse and vibrant community of active zoologists, who feel supported, respected and able to do their best work.

Last Application Date: Open Until Filled

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21. Postdoctoral Fellow – Climate and Sustainability Impact Lab

Summary of Postdoctoral Fellowship:

The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows to work on research activities at our newly formed research labs. D^3 will have a formal launch in July 2022 with 10 newly minted labs that will provide cutting edge research faced by academics and practitioners. For more information on D^3, please visit https://d3.harvard.edu. The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Climate and Sustainability Impact Lab, led by Professors George Serafeim and Michael Toffel, is looking for a postdoctoral fellow with interest in climate and sustainability. The mission of the Climate and Sustainability Impact Lab is to advance managerial and governance practices in order to drive operational and business model sustainability transformation. A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing targeted at peer reviewed social science journals.

Last Application Date: Open Until Filled

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22. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Customer Data Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a Postdoctoral Fellow. The goal of the Customer Data Lab is to leverage customer data to improve outcomes for firms, consumers, and society at large.

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23. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Digital Value Lab, led by Professor Suraj Srinivasan, is seeking a Postdoctoral Fellow. The mission of the Digital Value Lab is to conduct research on performance impact and value creation outcomes from digital and big-data driven transformation in organizations. Research projects in the lab cover the following areas: digital governance, economics and management of AI and data analytics in organizations, AI driven investing and governance in banking and capital markets, the future of AI augmented finance function in organizations (Future of the CFO), An ideal candidate will be interested in digital and data analytics work and comfortable working directly with data.

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24. Postdoctoral Fellow – Secure and Fair Machine Learning Lab

Summary of Postdoctoral Fellowship:

The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Secure and Fair Machine Learning (SAFR ML) Lab, led by HBS Professor Seth Neel and Harvard SEAS Professor Salil Vadhan, is seeking a Postdoctoral Fellow. The lab focuses on developing algorithms that allow data science practitioners to trade-off ethical considerations like privacy, interpretability, and bias with accuracy, and to mitigate the risks of overfitting. Recent works on fairness have included new definitions of statistical fairness that account for a more complex protected group structure or a more flexible notion of similarity, new algorithms for efficiently deleting user data from neural networks, the SOTA bounds for adaptive data analysis, and new techniques for differentially private optimization. Ensuring privacy and fairness in large-scale genomic analyses is a new research interest.

Last Application Date: Open Until Filled

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25. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions. The Tech For All Lab, led by Professors Tarun Khanna and Rem Koning, is seeking a Postdoctoral Fellow. The lab aims to broaden the benefits of digital innovation and entrepreneurship to include more people in developing economies, women, people of color, and those in economically disadvantaged circumstances or regions. The lab will shed light on how digitization, data, and design can create value for firms and consumers who are often overlooked by, or who are simply the last to benefit from, new technologies. A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing targeted at peer reviewed social science journals.

Last Application Date: Open Until Filled

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26. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

We seek a talented and highly motivated Bioinformatician to join our dynamic, collaborative team focused on high-throughput sequencing (HTS) applications. The ideal candidate will have experience analyzing and interpreting omics data, and is enthusiastic to share their expertise through the core’s consulting and education programs. The candidate will work as part of a team of bioinformaticians to develop and apply bioinformatics workflows to support both standard and custom data analysis for variant calling, transcriptomics, epigenomics and multi-omics projects. This role provides a unique and rewarding opportunity to support and train world-class researchers and to make a profound impact on human health.

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27. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Harvard T. H. Chan School of Public Health’s Department of Social and Behavioral Sciences and the Dana-Farber/Harvard Cancer Center Population Sciences invite applications for a joint post-doctoral fellowship in cancer prevention and control. The postdoctoral research fellowships, which begin in September 2022, are funded for two years and do not result in a degree. The program’s objective is to train researchers in the design and evaluation of cancer prevention and control. Applicants may work in any area related to cancer prevention. Potential areas of research include: implementation science, global cancer, cancer disparities, and health communications.

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28. Postdoctoral Fellow in Applied Mathematics

Summary of Postdoctoral Fellowship:

The Soft Math Lab (https://softmath.seas.harvard.edu/) is looking for a postdoctoral fellow to start in the summer/fall of 2022 with interests and expertise in the areas of (i) the physics of morphogenesis, (ii) collective behavior of organisms across scales and (iii) soft matter physics, who has familiarity with data analysis geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists.

Last Application Date: Open Until Filled

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29. Postdoctoral Fellow at the Laboratory for Innovation Science at Harvard (LISH), IQSS

Summary of Postdoctoral Fellowship:

The Laboratory for Innovation Science at Harvard University (LISH) is accepting applications for multiple postdoctoral fellowships in quantitative social science (economics, management, psychology, and sociology). Candidates with a background in applied work with observational data establishing causal relationships, or experimental design in the lab or field settings would be well-suited. LISH is a Harvard-wide research program led by faculty co-directors Karim Lakhani and Marco Iansiti of Harvard Business School; Eva Guinan, Harvard Medical School; and David Parkes, Harvard School of Engineering and Applied Sciences. We focus on developing a science of innovation primarily through field-based experiments. The lab works with several partners (NASA, Harvard Medical School, and various other institutions and corporations) to investigate real-world innovation problems.

Last Application Date: Open Until Filled

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30. Postdoctoral Researcher in Human-Computer Interaction

Summary of Postdoctoral Fellowship:

We invite applications for a postdoctoral researcher in human-computer interaction, human-AI interaction, natural language processing, and/or visualization design to work with Prof. Elena Glassman at Harvard SEAS. Applicants will broadly be expected to help mentor research projects led by Masters and PhD students as well as develop and lead projects themselves. Projects within the lab may be related to (1) fairness and interpretability for machine learning in healthcare, e.g., challenges related to personalization and communicating uncertainty, (2) designing for “loophole” behavior in human-AI interaction, (3) building usable interactive systems powered by program synthesis, (4) interfaces for supporting humans in human-AI teams, including human-robot teams, (5) interfaces for hypothesis discovery & ML model selection by physician-researchers, or (6) code demography, e.g., extensions of OverCode/Foobaz and Examplore/ExampleNet. Most of these project topics will involve working closely with a second PI at Harvard or elsewhere, who is an expert in a field other than HCI. Applicants will also have the opportunity to develop their own research agenda and start new collaborations.

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31. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

Associate Professor Stéphane Verguet is seeking a highly-motivated and capable postdoctoral researcher with an interest in health economics, health systems, priority setting and decision sciences. The successful candidate will work with Dr. Verguet on several projects related to priority setting in low- and middle-income countries. The work involves modeling, economic evaluations, and cost-effectiveness analyses of health interventions and policies, including equity and financial risk protection impacts.

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32. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The laboratory of Dr. Yingzi Yang has a longstanding and intense interest in defining the functional mechanisms of Wnt, Hippo, and Hedgehog signaling pathways in development and disease pathogenesis. We are recruiting a motivated postdoctoral fellow to conduct bone or dental-craniofacial research. We use molecular, biochemistry/cell biology and genomic approaches in both mouse models and human specimens. Our research also involves cutting-edge genetic and genomic techniques and disease/tissue regeneration models. Candidates with strong training in the areas of signal transduction, mechanotransduction, stem cell microenvironment and mouse genetics are particularly encouraged to apply. The positions are funded by NIH and Harvard University.

Last Application Date: Open Until Filled

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33. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks a talented, creative, and enthusiastic individual to build life-changing technologies for rehabilitation and human performance enhancement. The Postdoctoral Researcher will coordinate and lead a research project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. They will contribute to technical deliverables and help to plan for technology translation.

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34. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Harvard Medical School (HMS) Curriculum Fellows Program (CFP) is seeking an innovative, collaborative early-career science educator to act as the Curriculum Fellow (CF) in Developmental and Regenerative Biology (DRB). The CFP is a postdoctoral service and training program focused on curriculum development, teaching, and educational programming in the biological and biomedical sciences. The CF is part of a larger cohort, and receives mentorship and career advising to support their development as an educator and to help them succeed in a variety of education-focused careers. More detailed information about the Curriculum Fellows Program, the role of a CF, and the outcomes of former fellows can be found in the 2022 CF cohort announcement available on our website (https://curriculumfellows.hms.harvard.edu).

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35. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The laboratory of Dr. Doeke Hekstra at Harvard University seeks a postdoctoral fellow with a deep interest in the physical basis of protein function. Work in the group combines time-resolved and complementary X-ray diffraction experiments with new tools for their analysis. The specific position focuses on the analysis of time-resolved and complementary X-ray diffraction methods, the development of software enabling such analysis, and the integration with molecular dynamics simulations to build effective models of protein physics. The precise emphasis can be adjusted based on your experience and interest. You will have the opportunity to work closely with experimental and computationally-oriented students in the lab, as well as with computational and experimental collaborators. As part of your postdoctoral training, you will be expected to and have the opportunity to mentor graduate students, work in a team, contribute to grant writing, and develop other skills important for your intended career(s). Start dates are flexible.

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36. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Haber Lab in the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis, particularly single-cell RNA sequencing, spatial transcriptomics, and related approaches. Our research group uses single-cell genomics to study immunity at mucosal sites, with a focus on the lungs and particularly mechanisms of asthma. Past work has focused on discovering new cell types in the lungs (Nature, 2018), single-cell genomics of the small intestine (Nature, 2017), and using single-cell methods to describe how the mucosal immune system regulates epithelial stem cells (Cell, 2018). The successful candidate(s) will join an interdisciplinary team spanning several institutions, including the Harvard T.H. Chan School of Public Health, Brigham & Women’s Hospital, and the Broad Institute of MIT and Harvard.

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37. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Computational Science and Engineering Laboratory at Harvard University invites applications for a postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications ranging from turbulence to drug delivery beginning August 1, 2022, or as soon thereafter as possible. The position is for one year, renewable for two additional years. The candidate will work closely with Professor Petros Koumoutsakos. For further information, please visit cse-lab.harvard.eduor contact petros@seas.harvard.edu.

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38. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods for population health disparities. The postdoctoral fellow will work with Dr. Briana Stephenson and collaborate with a multidisciplinary research team to develop innovative statistical and machine learning methods to address and identify bias and inequities in population health. Areas of interest include: identifying bias in healthcare access and delivery, statistical methods for high-dimensional exposures in minority populations, model-based clustering techniques for understudied populations, and survey sampling methodology for diverse population cohorts. Research applications will utilize data from cancer registries, national survey studies, and large prospective cohort studies. The postdoctoral fellow will develop their research and training agendas through formal mentorship, seminars, conferences, and an Individual Development Plan (IDP) to explore and identify the fellow’s professional needs and career objectives.

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39. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data.

Last Application Date: Open Until Filled

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40. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

This is a postdoctoral position developing statistical methods for finding patterns in complex biomedical data, working with Jeff Miller in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. Models and methods of interest include hierarchical regression models, latent factorization models, nonparametric Bayesian models, models for sequential data, mixture models, machine learning algorithms, and robustness to model misspecification. This postdoctoral position will involve working with Dr. Miller and collaborators to develop statistical methods and software tools for analyzing high-dimensional biomedical data from cancer genomics and clinical applications.

Last Application Date: Open Until Filled

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41. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

Postdoctoral Research Fellow position in statistical genetics and genomics is available at Harvard T. H. Chan School of Public Health. This position involves developing and applying statistical and machine learning methods for analysis of high-throughput genetic and genomic data, including large scale Whole Genome Sequencing association studies, integrative analysis of genetic and genomic data, high-dimensional phenotype analysis, causal mediation analysis and Mendelian Randomization, Polygenic risk scores, and analysis of biobanks. We seek an individual with strong statistical, computing, and genetic backgrounds and who has expertise in statistical and computational methods for big data, statistical genetics and genomics. The work will involve both methodological research with department faculty and collaboration with subject matter researchers and investigators in large consortia.

Last Application Date: Open Until Filled

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42. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: nanoparticle synthesis, colloidal science, rheology, or granular media. The successful candidate will join a multidisciplinary team of researchers supported under a new ARO MURI award. The goal of this project is to develop a fundamental understanding of the transient yielding and printing behavior of highly heterogeneous particle systems.

Last Application Date: Open Until Filled

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43. William Lyon Mackenzie King Postdoctoral Fellowships

Summary of Postdoctoral Fellowship:

The Canada Program at Harvard University’s Weatherhead Center for International Affairs invites applications for the William Lyon Mackenzie King Postdoctoral Fellowship. Two fellows will be appointed for the 2022–2023 academic year, with the possibility of extending the fellowship for one additional year—conditional on the approval of the Dean of the Faculty of Arts and Sciences, WCFIA associated faculty, and the co-hosting academic department. The fellowship is open to scholars in all disciplines who are engaged in US-Canada comparative research and teaching, with preference given to individuals working within the social sciences and humanities. For postdoctoral candidates who will have completed the PhD within 12 months of the August 1, 2022 start date, verification of completion of the degree will be required prior to the appointment. Those in possession of a PhD for more than five years are ineligible.

Last Application Date: Open Until Filled

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44. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Strominger Lab seeks a scientist with 0-5 years of postdoctoral experience to participate in an ongoing research program focused on the regulation of expression of the Class 1 MHC proteins HLA-C, HLA-E, and HLA-G, in the maternal-fetal interface and their role in tolerance and infections. We are particularly interested in pregnancy complications (e.g., preterm birth and preeclampsia) which may result from dysregulation of their expression at the decidua during pregnancy, as well as in transplantation tolerance and infection (e.g., CMV). This position offers full funding for a two-year period for work within the scope of recent publications from the laboratory as defined by the attached materials, see: additional qualifications. Salary is in the range of 55-90K per year depending on experience and record, plus full Harvard benefits.

Last Application Date: Open Until Filled

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45. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

Professors Kevin Croke and Margaret Kruk are seeking a highly-motivated and capable postdoctoral researcher with an interest in inter-disciplinary quantitative research and maternal and child health. The successful candidate will work on research and activities to support the evaluation of Service Delivery Resign for Maternal and Child Health in Kakamega County, and the Quality Evidence for Health System Transformation (QuEST) Network. The Service Delivery Redesign for Maternal Health evaluation: Kakamega County in western Kenya (population 2 million) plans to pilot a policy to address quality gaps in maternal and newborn care through a policy called “Service Delivery Redesign for Maternal Health.” A team of researchers led by Prof. Kevin Croke will leverage the phased rollout of the reform to assess the program’s effect on health outcomes, while also conducting a process evaluation of SDR implementation.

Last Application Date: Open Until Filled

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46. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The laboratory of Dr. Cassandra Extavour at Harvard University is looking for one or more collaborative, self-motivated Postdoctoral Associate in Cambridge, MA. The Extavour lab works on the evolution of development at many different levels of biological organization and scale. We seek to understand the evolutionary origins and modern functions of the genes that govern cell fate decisions during animal development. We often focus on the cell types that ensure that the evolution process can take place at all in multicellular organisms: the germ cells, that produce gametes, and the gonads, which house the gametes. Because we cannot understand evolution by studying a single organism, we use a wide range of model organisms, most of which are insects, including Drosophila melanogaster and many other species of Drosophila fruit flies. We also employ a wide range of approaches, because we wish to understand evolution from the perspective of the gene, the protein, the cell, the organs, the organism, and the ecological context. Current and previous lab members have had expertise in genetics, microscopy, biochemistry, bioinformatics, molecular evolution, developmental and cellular biology, and behavioural ecology , and we are always interested in team members who will bring new lenses of inquiry. More information can be found on our website: www.extavourlab.com.

Last Application Date: Open Until Filled

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47. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Harvard branch of the AI Institute in Dynamic Systems invites applications for a postdoctoral fellowship in the multidisciplinary study of AI for dynamics and control, and in particular the safety, robustness, and scalability of reinforcement learning algorithms, and/or the learning of physically interpretable models of dynamic systems from data. The candidate will have opportunities to work collaboratively with a group of faculty from Electrical Engineering and Applied Mathematics (Na Li), Statistics and Computer Science (Lucas Janson), and Applied Mathematics and Applied Physics (Michael Brenner) on fundamental AI and machine learning theory, algorithms, and applications for real-time learning and control of complex dynamic systems. Candidates should suggest at least two of these faculty as potential advisors for their proposed research. The duration of the fellowship will be one year with the possibility of extending for an additional year.

Last Application Date: Open Until Filled

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48. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Mazur Lab in the Applied Physics Department of the Harvard John A. Paulson School of Engineering and Applied Sciences (mazur.harvard.edu) has an opening for a Research Associate in the area of nanophotonics and biophotonics. As pioneers in these areas, we develop and use cutting-edge theoretical and experimental techniques to design, fabricate, and study nanophotonic metamaterials and develop novel biophotonic platforms and techniques. Our nanophotonics projects involve metamaterials and moiré metamaterials that have extreme optical properties, such as near-zero index, zero group velocity, ultra-low loss, or ultra-flat bands. The goal of our biophotonics work is to develop tools for biologists and biophysicists to be able to deliver large cargo molecules in a spatially-selective way to cells, past the cell membrane phospholipid bilayer barrier. We have active collaborations in these two areas with other photonics groups at Harvard, and groups at the University of Rochester, the University of Pennsylvania, the University of Southern California, MIT, and Johns Hopkins University. Our experimental research encompasses pulsed laser applications, optical characterization of materials, microfluidics, microscopy, and nanofabrication. On the theoretical front, we use various modeling approaches and numerical simulation to support our experimental work.

Last Application Date: Open Until Filled

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49. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health invites creative and motivated researchers to apply for post-doctoral fellowship positions to work with our faculty on projects on pandemic preparedness and response funded by a CDC contract to improve infectious diseases forecasting and analytics (see https://www.cdc.gov/media/releases/2021/p-1026-mill-funding.html). Multiple positions are available across a range of projects. These projects include ones focusing on quantitative tools to inform the public health response over the lifecycle of pandemics; assessment of model and forecast communications; mathematical models that relate within-host evolution and dynamics to population-level epidemiology, evolution, and emergence; assessment of drivers of inequity in surveillance, modeling, and disease burden with a focus on identifying gaps and how to address them; and assessing the impact of intervention strategies.

Last Application Date: Open Until Filled

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50. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

Deep learning plays an essential role in the operation of an autonomous vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and other advanced driver assistance systems (ADAS) sensors. These sensors generate a vast amount of data concurrently, which need real-time processing (latency-bound throughput) for vehicle safety. A crucial challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators), integrate it with the sensors in AV, and demonstrate its capability to perform perception, mapping, and planning while overcoming the power and performance limitations of CMOS-only computers. As our end goal, we plan to demonstrate a fully autonomous buggy that uses our EPiC system.

Last Application Date: Open Until Filled

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  1. Aside Khan

    Post Doc positions in Social Work, Child Protection, Child Rights

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