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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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(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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School: Harvard Medical School Position Description: As part of its Marshall J. Seidman Fellowship Program to support impactful health policy research, the Department of Health Care Policy at Harvard
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incorporating technology into instruction. Experience teaching specialized topics (e.g., literature, film, media). Special Instructions Please submit the following materials through the ARIeS portal (https
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workshops to further develop research and communication skills. Basic Qualifications: Bachelor's degree in computer science or closely related field. Additional Qualifications: Demonstrated interest in
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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global leaders advancing oral and systemic health. For more information about the Harvard School of Dental Medicine, please visit: http://hsdm.harvard.edu/ . The Department of Oral Medicine, Infection, and
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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tools. The successful applicant will be expected to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health