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Field
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for the analysis of problems in these fields, including data analysis, geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists is a must
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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contemplating application to a PhD program in economics or another quantitative field. Additional Qualifications Special Instructions Please include contact information for three references in your cover letter
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Posting Details Position Information Job Title Postdoctoral Fellow Posting Number P1952F Position Summary Information Job Description Summary The Department of Pathobiology and the Scott Ritchey
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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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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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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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students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. We are an affirmative action/equal opportunity
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students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. We are an affirmative action/equal opportunity
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the underlying causes of cardiometabolic diseases in these populations and develop appropriate treatment and prevention efforts. The Postdoctoral Fellow will work on study design, study implementation, data