276 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" research jobs at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
-
Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Digital Reskilling Lab School Harvard Business School Department/Area Position Description The Digital Reskilling Lab, led by
-
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
-
on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
-
Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information: Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA 02138
-
about the lab, please visit https://www.hsph.harvard.edu/onnela-lab/ . Contact Information Hassan Dawood Contact Email hdawood@hsph.harvard.edu Salary Range $75,000/year Minimum Number of References
-
Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Laboratory for Innovation Science School Harvard Business School Department/Area Position Description The Digital Data Design
-
knowledge of Ancient Maya epigraphy. Experience in a research library, archive, special collection, museum, or comparable environment. Strong computer skills, including experience using relational databases
-
and Benefits This position is 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
-
econometric methods to administrative and other large-scale datasets—particularly claims data—to support policy-relevant research on competition and regulation in the U.S. pharmaceutical market