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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 Positions in High-Energy Theory at Harvard University School Faculty of Arts and Sciences Department/Area Physics Position Description Postdoctoral Positions in High
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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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. 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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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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matrix theory, statistical inference, active matter, and biophysical modeling are desirable. Special Instructions Letters of recommendation are required at the time of application. Candidates should submit
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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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findings as reports, tables, graphs, and models, and will collaborate on manuscripts, abstracts, and other publications documenting study findings. The person will be responsible for successful completion
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. Basic Qualifications: Applicants should have least 2 years of directly applicable postdoc experience Additional Qualifications: Prior experience with random matrix theory, statistical inference, active
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to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present findings as reports, tables, graphs, and models, and will