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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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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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on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with the possibility of extension. For more details on our research and recent publications
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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bargaining and matters affecting your compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in computer science and/or mathematics Working knowledge in category theory Additional
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 23-Nov-25 Location: Cambridge, Massachusetts Categories: Academic/Faculty Mathematics/Statistics Internal Number
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evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging. Additional Qualifications Special Instructions Candidates should upload the following materials
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integrates social science, evolutionary theory, and quantitative methods to investigate long-run psychological and cultural change. The successful candidate will contribute to a large, multi-year project
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: Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area: Electrical Engineering / Applied Mathematics / Computer Science Position Description: Professors Le Xie and Na Li in