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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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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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cooperation without individual fidelity in LLM agents.” arXiv (2026). https://arxiv.org/abs/2606.30454 Required knowledge An excellent academic record in computer science or a cognate field. An Honours degree
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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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Qualifications Ph.D. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and
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Position 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
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Position 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