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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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(PhD or equivalent) in Data Science, Computer Science, Statistics, Analytics, or a closely aligned field. Experience: Demonstrated track record of scholarly research, industry practice, or doctoral
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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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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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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
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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
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Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras
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email [email protected] . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment
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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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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