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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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lab group meeting (journal readings, in progress research talks, visiting speakers), and helping affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc 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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approaches such as digital technology or task-sharing for scale-up of proven interventions. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those
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of flourishing within higher education. Candidates must have research interests in well-being, and a PhD in the empirical social or biomedical sciences. Preference will be given to candidates with research
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sets up his new lab at Harvard. For further information, please contact xie@seas.harvard.edu. Basic Qualifications PhD in electrical and computer engineering, mechanical engineering, materials science
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status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status . Minimum Number of References Required 3 Maximum Number of References
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, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Special
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graduate schools. Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning. Commuting and Transportation
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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