211 computational-physics "https:" "https:" "https:" "U.S" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
-
at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
-
labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the
-
community of scientists. Filed under: Postdoc Opportunities See also: Non-U.S. Citizen U.S. Citizen/ Permanent Resident Science and Engineering Harvard Research Expenses Salary Admin login Copyright © 2026
-
salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
-
nonprofit/academic institution, commit ≥ 80-90 % effort to PD project; open to U.S. and international applicants. Deadline Month: October (LOI) and March (full proposal) Description: Competitive two-year
-
yet hold an independent faculty position (e.g. Assistant Professor). Open to both U.S. and international researchers. Deadline Month: February (LOI) and May (full proposal, if invited) Description
-
research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
-
postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number of References Required Maximum Number
-
effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy