251 computer-science-quantum "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at Harvard University in United States
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Details Title HMS - Postdoctoral Fellow in Cell Biology School Harvard Medical School Department/Area *** Position Description We invite applicants for a postdoctoral fellow position in the Gygi lab
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Details Title Research Fellow in Global Mental Health Implementation Science School Harvard Medical School Department/Area GHSM Mental Health for All Lab Position Description We invite applicants
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Details Title POST-DOCTORAL FELLOW IN CANCER RESEARCH – SPATIAL BIOLOGY AND PRECISION ONCOLOGY School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position
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, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
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Human Frontier Science Program: Postdoctoral Fellowships Eligibility: A research doctorate (Ph.D.) or a doctoral-level degree comparable to a Ph.D. with equivalent experience in basic research must
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Description 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, computer science, or a
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quantum chemistry, experience with machine learning regression methods. Preferred start date as soon as possible but flexible. Basic Qualifications PhD in Physics, Chemistry, Materials Science, Computer Science
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Feb-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Biological/Biomedical Sciences Internal
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Details Title HMS - Postdoctoral Fellow in Systems Biology School Harvard Medical School Department/Area Systems Biology Position Description We invite applicants for a postdoctoral fellow position
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis