71 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Harvard University in United States
Sort by
Refine Your Search
-
the auto market, especially electric vehicles. The position will be under the supervision of Professor James Stock and Dr. Elaine Buckberg, and it will be housed in the multidisciplinary Salata Institute
-
of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
-
, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
-
, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
-
applications to teach in the Sophomore Tutorial program. Tutor positions are open to advanced graduate student and postdocs/PhD-level early career instructors with prior teaching experience. Sophomore Tutorial
-
(ESE), in the field of atmospheric chemistry, with emphasis on modeling and remote sensing. The expected start date is July 1, 2026. The successful applicant will teach and advise at the undergraduate
-
. Basic Qualifications Practitioner Fellows may come from a range of backgrounds, including diplomacy, journalism, private sector leadership, military, elected office, civil service, and civil society. We
-
structural biology by providing support and training for researchers seeking to learn cryo-EM, serving as an interface between the instruments and a vibrant scientific community. Responsibilities to FAS will
-
to continue with (and submit) your application). Learn More About OI’s Predoctoral Fellowship On Wednesday, January 21, 2026, at 1:00 pm ET, we will host a virtual information session (via Zoom) to provide more
-
postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement