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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly
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generated synthetic representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography
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representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography. By linking defect
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: Cambridge, Massachusetts 02138, United States of America Subject Areas: Statistics / Machine Learning , Data Science , Statistics Appl Deadline: none (posted 2026/03/16 04:00 AM UnitedKingdomTime) Position
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Medical Center (COH) in the great Los Angeles area has an exciting opportunity to join our team as a Postdoctoral Fellow with a lot of exposure to clinical practice of radiotherapy physics. The Radiation
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship opportunity is immediately available for the highly motivated individual in the laboratory of Ling Li, Ph.D., in
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability