270 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship research jobs at Harvard University in United States
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Details Title Postdoctoral Research Fellow in Developmental Biology School Harvard School of Dental Medicine Department/Area Department of Developmental Biology Position Description The Yang Lab
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Position Description The Farhat Lab in the Department of Biomedical Informatics is
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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Details Title Postdoctoral Fellow – Cell and Tissue Engineering and Vascularization School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss
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research experience · Knowledge of building systems · Degree in computer science Contact Information: Marina McLaughlin Contact Email: mclaughl@g.harvard.edu Equal Opportunity Employer: Harvard is an equal
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, Mathematics, Computer Science or a directly related field Additional Qualifications: The successful applicant will be expected to have a solid technical background, research experiences showing independence and
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell