144 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Harvard University
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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courses. The program serves as an ideal bridge between college and graduate school for students interested in empirical economics. Most previous fellows have gone on to top Ph.D. programs. Salary and
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experts, and other local knowledge carriers—and circulation of lessons learned through routine academic publication and community dissemination—will be essential to the success of these endeavors
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. The postdoctoral fellow position will be eligible for Harvard University’s subsidized comprehensive medical, dental, vision, and other benefits. In addition, $3,000 in research funding for scholarly activities will
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, military service, pregnancy and pregnancy-related conditions, or other protected status. Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted to excellence in teaching
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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of renewal dependent upon job performance and continued availability of funding. Basic Qualifications PhD in Psychology or related field required by the appointment start date Additional Qualifications
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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