58 computer "https:" "https:" "https:" "https:" "https:" "https:" "https:" ";" PhD uni jobs
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. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy, communications, public
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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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details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email [email protected] Applications will
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technology and public policy. We specifically seek applications from scholars who are developing and/or applying new technologies to solve public problems. We are particularly interested in computer
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technology and public policy. We specifically seek applications from scholars who are developing and/or applying new technologies to solve public problems. We are particularly interested in computer
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technology and public policy. We specifically seek applications from scholars who are developing and/or applying new technologies to solve public problems. We are particularly interested in computer
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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Details Title Postdoctoral Fellow in Artificial Intelligence for Society School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Qualifications Candidates must hold a Ph.D. in a quantitative field, such as statistics, biostatistics, computer science, or a related discipline. Success in this position requires strong quantitative