23 parallel-computing-numerical-methods Postdoctoral positions at Harvard University in postdoctoral
-
of the primary objectives of the ITC is to integrate conceptual theory with computational modeling. We are, therefore, interested in candidates working in any field related to theoretical and/or numerical
-
Burroughs Wellcome Fund: Postdoctoral Enrichment Program Eligibility: Limited to citizens of Canada and the US; candidate must have no more than 48 months of postdoctoral research experience (in a
-
to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits
-
Details Title Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard University Position
-
Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Eligibility: Mid-to late-stage postdoctoral researchers conducting basic neuroscience research in areas outside of their lab’s
-
Details Title Postdoctoral Research Position in Computational Physics at Harvard University School Faculty of Arts and Sciences Department/Area Physics Position Description Postdoctoral Research
-
-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large
-
developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
-
/administrative datasets ● Environmental, climate, or air pollution exposure data ● Causal inference methods Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and
-
(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods