10 assistant-professor-computer Fellowship positions at Harvard University in United States
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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widely cited in policy discussions. Fellows will be based at Harvard or Brown Universities under the direction of Professors Chetty, Friedman, and Hendren. The fellowship will include a variety of tasks
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Universities under the direction of Professors Chetty, Friedman, and Hendren. The fellowship will include a variety of tasks that provide preparation for graduate school or other industry research positions
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also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees, and support in advancing to the next career stage. This is a one
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for Teaching and Learning at Harvard University invites applications for a Postdoctoral Fellow in Artificial Intelligence. Working closely with Professor Christopher Stubbs and Learning Lab Director Marlon
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be further interviewed by zoom. Contact Information Assistant Professor Janet Song Contact Email janetsong@fas.harvard.edu Minimum Number of References Required 3 Maximum Number of References Allowed 5
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. Moira Weigel, Assistant Professor of Comparative Literature at Harvard. Dr. Weigel’s research focuses on media and communication technologies since the nineteenth century, drawing on sources in English
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psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
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[Start date: Summer/ Fall 2025] Applications are invited for a postdoctoral fellowship under the direction of Professor Tomer Ullman in the Department of Psychology at Harvard University. The specific
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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