142 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Harvard University
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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proposed mentors from current faculty associated with the Kempner Institute or working on machine learning, artificial intelligence, or computational neurobiology at Harvard. A research proposal of no
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. We are looking for exceptional candidates with background in machine learning and/or computational biology. Research will focus on both top-down and bottom-up mapping of local interactions between
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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, individuals and other contributors have joined the Charles A. King Trust in supporting the Postdoctoral Research Fellowship Program. Proposals focused on cancer or vision are highly encouraged due
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Born in Chicago, Dr. Yerby was the youngest of four children. After finishing high school, he enrolled at the University of Chicago and then went on to study medicine at Meharry Medical College in Nashville, Tennessee—one of only two black U.S. medical colleges in existence at the time. After...
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PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must demonstrate strong analytical and numerical skills. Additional Qualifications Special
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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional
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than Friday, December 5, 2025. For more information about the Canada Program, please visit: https://canada.wcfia.harvard.edu/ Basic Qualifications PhD required by time of appointment. Additional
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a