{"id":8172,"date":"2022-08-09T00:02:00","date_gmt":"2022-08-09T00:02:00","guid":{"rendered":"https:\/\/notesbard.com\/?p=8172"},"modified":"2022-08-06T22:15:27","modified_gmt":"2022-08-06T22:15:27","slug":"31-postdoctoral-fellowships-at-harvard-university","status":"publish","type":"post","link":"https:\/\/notesbard.com\/31-postdoctoral-fellowships-at-harvard-university\/","title":{"rendered":"31 Postdoctoral Fellowships at Harvard University, Massachusetts"},"content":{"rendered":"
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. <\/span><\/p>\n 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..<\/span><\/p>\n The Department of Statistics invites applications for a Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke\u2019s 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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 \u2013 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:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n The team of Elena Rivas has a NIH\u2010funded 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\u2010scape 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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\u2019 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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 \u201cReligion, Family Structure and the Origins of Individual Freedom and Economic Prosperity.\u201d 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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.<\/span><\/p>\n Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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. Last Application Date:<\/span><\/strong> Open Until Filled<\/span><\/span><\/p>\n View Details & Apply<\/span><\/strong><\/a><\/p>\n <\/p>\n 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: \u00b7 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.1. Postdoctoral Research Associate
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6. Postdoctoral Research Associate
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10. Postdoctoral Research Fellow Positions
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11. Postdoctoral Research Fellow
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14. Postdoctoral Research Associate
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