31 Postdoctoral Fellowships at Harvard University, Massachusetts

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 Research Associate

Summary of Postdoctoral Fellowship:

The Department of Statistics invites applications for a Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering, matrix factorization, network community detection and mixed membership estimation, topic modeling, word embedding, and reinforcement learning.

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2. 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. 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.

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3. 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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4. Postdoctoral Research Associate

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.

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5. Postdoctoral Research Fellow

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 have the opportunity to work on a range of problems related to air quality and global atmospheric chemistry. Applicants should have a Ph.D. in atmospheric science and substantial experience in 3-D modeling of atmospheric chemistry.

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6. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The team of Elena Rivas has a NIH‐funded postdoctoral position available in the department of Molecular and Cellular Biology at Harvard University. We are seeking postdocs in computational biology with an interest in creating new methods for the identification and characterization of structural RNAs and to advance the study of structural RNA biology. The project aims at combining existing methods to interrogate genomic regions and transcripts about the existence of conserved RNA structure with AI methods that could take advantage of information in the known structural RNAs and to apply it to the identification of novel ones. Our group has developed two computational tools, termed R‐scape and CaCoFold, which use genomic signals of conservation, variation, and covariation, gathered from millennia of evolutionary history to identify novel structured RNAs in any genome. This proposal aims to take those methods further in several directions by developing new methodologies to determine the fold of a structural RNA, and by developing new computational methods to identify phylogenetically restricted structural RNAs.

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7. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

We have an immediate opening for a postdoctoral fellow in social epidemiology. We are looking for an exceptional and highly motivated postdoctoral fellow to collaborate with Dr. Natalie Slopen and Dr. Andrea Roberts on a research project using the Nurses’ Health Study 3 cohort. The successful candidate will conduct innovative research that addresses questions of childhood exposures and viral infections across the life course. The project has relevance to long-term health outcomes, pregnancy conditions, and offspring health, and therefore is well suited to candidates with an interest in life course epidemiology. We are particularly seeking individuals looking for training and research experience in areas relevant to epidemiologic methods, biostatistics, and immunology.

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8. Postdoctoral Research Associate

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.” The successful applicant will join a cross-disciplinary, highly collaborative team of humanists, social scientists, and data scientists; this position will contribute to the team through research competence in historical languages and some experience in natural language processing, corpus linguistics, computational literary studies, digital humanities, or a related area. Experience in Latin language and literature is highly desirable; also desired but optional areas of experience include one or more of the following: cultural analytics, cultural evolution, history of ideas, lexicography. The fellow will have no teaching responsibilities.

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9. Postdoctoral Research Fellowship

Summary of Postdoctoral Fellowship:

The physics of two-dimensional (2D) materials, and especially structures with a relative twist between successive layers, has attracted much attention in recent years. Guiding experimental searches through theoretical models for interesting applications of these systems is crucial, because of the very large parameter space involved. The theoretical tools commonly employed in modeling of these systems are density functional theory (DFT) and effective hamiltonians built through wannierization of Bloch states. A Postdoctoral scholar is sought to make leading contributions to this field, by developing theoretical models of twisted 2D homo-layer and hetero-layer structures using the tools mentioned. A key goal is to explore the physics of these systems, including correlated electron behavior, topological states, superconductivity, and related emergent behavior. The work involves close collaboration with experimental groups in several projects. The candidate will join a team of other postdoctoral scholars and graduate students working collaboratively on the prediction of multi-layer structures with interesting electronic, optical and magnetic behavior.

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10. Postdoctoral Research Fellow Positions

Summary of Postdoctoral Fellowship:

The successful candidate will work with Drs. Curtis Huttenhower and Wendy Garrett on overall scientific coordination for the Harvard Chan Microbiome in Public Health Center (http://hcmph.sph.harvard.edu). This individual 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 that are part of the Center. There will be ample opportunities to plan new projects; prepare presentations, proposals, and manuscripts with the Center and affiliated PIs, students, and postdoctoral fellows; funding reporting; and coordinate with the broader HCMPH community.

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11. Postdoctoral Research Fellow

Summary of Postdoctoral Fellowship:

The Center of Mathematical Sciences and Applications at Harvard University welcomes applications for a Postdoctoral Fellow position in the mathematical sciences for the academic year 2023-2024. The Center is seeking in particular individuals with a strong mathematical science background who are interested in applying mathematics to fields such as physics, biology, finance, statistical data analysis, economics, computer science, AI, machine learning, and other disciplines.

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12. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

The Whipple lab investigates the causes and consequences of genomic imprinting in the brain using mouse models and in vitro neuron differentiation systems. There are open opportunities to work in project areas related to (i) mechanisms controlling imprinted gene expression, (ii) neuronal functions of imprinted non-coding RNAs, and (iii) new therapeutic opportunities for imprinted disorders. The postdoctoral candidate will work with the lab to develop a specific project that falls within these interests. Our work balances hypothesis-driven research using established methods with exploratory research using new high-throughput methods. This enables us to test data driven models while remaining open to unexpected, paradigm-shifting discoveries.

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13. Postdoctoral Research Fellow

Summary of Postdoctoral Fellowship:

The Initiative to Integrate Oral Health and Medicine seeks a research associate to join our research team and provide quantitative and analytical support. Our faculty and student led research is focused on building the evidence base to promote the essentialism of oral health and to promote systems changes that enhance equitable health outcomes through integration of dental care with medical and social care. We promote public health dentistry, raise awareness, and alleviate disease burden through rigorous research and education programs. The Initiative is seeking a statistician to work on a variety of research projects and tasks. We use methods from the fields of computer science, epidemiology, and statistics to evaluate public health programs, build more robust payment systems, and target interventions to improve health outcomes. In this role, the individual will be responsible for conducting comparative effectiveness analysis of benefit plans, managing and analyzing large electronic health record and claims datasets, and running simulation models of innovative payment systems and policy interventions, fostering collaboration with the Harvard Data Science Initiative and other Harvard research teams. Understanding of and experience with machine learning principles preferred.

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14. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

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. 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. Candidates should have some familiarity with: · Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition and non-compliance, analysis of heterogenous effects and interference.

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15. Postdoctoral Research Associate

Summary of Postdoctoral Fellowship:

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. The successful candidates will work on projects that could include (i) private release of aggregate genomic data, (ii) data deletion & machine unlearning (iii) privacy risks in explainable models (iv) fair or interpretable machine learning. The successful candidates will leverage their strong theoretical and computational background and communication skills to engage in all stages of the research, including the design, theoretical analysis, implementation, evaluation, and demonstration on real-world datasets.

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16. Postdoctoral Research Associate

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 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.

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17. 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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18. Post-Doctoral Fellow

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.

Last Application Date: Open Until Filled

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19. 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.

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20. 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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21. Postdoctoral Fellow

Summary of Postdoctoral Fellowship:

This is a grant-funded one-year term position with possibility of renewal dependent upon job performance and continued availability of funding. 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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22. Four Postdoctoral Research Associate

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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23. Postdoctoral Research Associate

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.

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24. Postdoctoral Research Associate

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.

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25. Postdoctoral Research Associate

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.

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26. Postdoctoral Research Associate

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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27. Postdoctoral Research Associate

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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28. 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 2023, 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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