244 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs at Harvard University in United States
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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across the world. Basic Qualifications Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required. The appointment will be for up to three
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Museum of Comparative Zoology at Harvard University: Biodiversity Postdoctoral Fellowship Deadline Month: September Description: The Biodiversity Postdoctoral Fellowship program supports
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-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful applicant will be
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, in partnership with the Malawi Ministry of Health, Kamuzu University of Health Sciences, and other programme partners. Basic Qualifications Education Requirements A doctoral degree in infectious
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Details Title Postdoctoral Fellow in Statistics School Faculty of Arts and Sciences Department/Area Statistics Position Description The Department of Statistics invites applications for a
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for postdoctoral appointments who plan to work on AI existential safety research. FIL defines AI existential safety research as: a) research that analyzes the most probable ways in which AI technology could cause
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Details Title Postdoctoral Fellow in Pre-Columbian Art/Archaeology at Dumbarton Oaks/Harvard University School Faculty of Arts and Sciences Department/Area Dumbarton Oaks Position Description
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral fellow will contribute to projects focused on: Foundation and representation learning