120 phd-in-computer-vision-and-machine-learning Fellowship positions at Harvard University
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-determination. In-depth consultation with community leaders, health experts, and other local knowledge carriers—and circulation of lessons learned through routine academic publication and community dissemination
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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for candidates interested in developmental, stem cell, neuro, computational biology, genetics or genomics. Basic Qualifications The candidate should have a PhD or plan to defend their PhD in the coming year
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation in
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics
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devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts
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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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, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Minimum Number
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, and how brains acquire heritable adaptations for complex, learned behaviors. Comparisons between modern humans and our living primate relatives provide a way to address this question in the context
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machines. We seek outstanding postdoctoral applicants with expertise in immunology and/or biomolecular engineering to work with Institute faculty, postdoctoral fellows, and research staff to develop