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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate students and post-baccalaureate fellows; prepare and submit peer-reviewed journal articles; and present their work
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 10-Apr-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Biological/Biomedical Sciences Internal
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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(www.owenslab.org ) are seeking a curious and motivated post-doctoral researcher to join our ongoing investigation into the ecological costs and evolutionary consequences of light pollution for nocturnal insects
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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communication, an ability to work both independently and in teams, and a track record of publications Special Instructions Contact Information Michael McWilliams, MD, PhD Contact Email mcwilliams