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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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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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and work with Prof. Melissa Franklin, on the muon spectrometer including maintenance, operations and performance of the NSW muon detector. Applicants should send a curriculum vitae, a list of
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of innovative interventions for mental health problems in (post)colonial Indigenous settings in the USA. Responsibilities Under the supervision of Prof. Joseph Gone, Faculty Director of the Harvard University
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of the methods will be in epidemiological studies. The successful candidate will work with Prof. Molin Wang and her collaborators. The postdoctoral research fellow will focus on developing biostatistical methods
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available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
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background in maternal health. The fellow will work under the mentorship of Prof. Leila Agha and collaborate with an interdisciplinary team of economists, physicians, and health policy researchers
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health, and policy issues under the mentorship of Prof. Haiden Huskamp. This position provides opportunities to collaborate with the Department’s interdisciplinary faculty —including economists, physicians
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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to lead and collaborate on studies related to mental health and addiction services, digital health, and policy issues under the mentorship of Prof. Haiden Huskamp. This position provides opportunities