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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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. This position is specifically targeted to candidates interested in computation in recurrent neural networks and is funded for multiple years by the NIH. Responsibilities: Successful candidates will conduct
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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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knowledge that enables practitioners in the built environment professions to design and plan our urbanizing world by defining and building upon values that are consistent with the development of meaningful
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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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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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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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allowance, as described below. Award Project Period Individuals may receive up to 5 years of aggregate Kirschstein-NRSA support at the predoctoral level (up to 6 years for dual degree training, e.g., MD/PhD