254 computer-"https:"-"https:"-"https:"-"https:"-"https:" "https:" "System Office" PhD positions at Harvard University
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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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is a laboratory position that will require fellows to work at both the bench and the computer. The successful candidate will work with a talented group of students, fellows, and research scientists to
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multi-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology
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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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position with the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please
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Drosophila as a model system. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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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