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Institute’s mission. Information about the Institute is available at https://kempnerinstitute.harvard.edu . Basic Qualifications Doctorate degree in Computer Science or related discipline required by the
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Institute’s mission. Information about the Institute is available at https://kempnerinstitute.harvard.edu . Basic Qualifications Doctorate degree in Computer Science or related discipline required by the
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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scientists or quantitative social scientists who harness tools of AI, data science, computer science, or system science to improve the performance of public and social sector institutions in critical
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wide range of skills, backgrounds, and interests spanning these topics. We are looking for a postdoctoral fellow with a PhD degree in Genetics, Statistics, Computer Science, Applied Math or related
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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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Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a