45 computing-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
-
scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
-
of funding. Candidates who have tenure-track offers but would like to defer and do a one-year postdoc are also welcome to apply. Basic Qualifications: Ph.D. in Statistics, Mathematics, Computer Science or a
-
Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
-
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
-
School: Harvard Medical School Position Description: As part of its Marshall J. Seidman Fellowship Program to support impactful health policy research, the Department of Health Care Policy at Harvard
-
computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
-
funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme implementers, and international health agencies such as UNAIDS, WHO, PEPFAR, and the Global Fund
-
solver who wants to be part of a dynamic team. Information about the Church Lab: Learn more about the innovative work led by Dr. George Church here: https://churchlab.hms.harvard.edu/ , https
-
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