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will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social scientists who harness tools of AI, data science, and
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approaches may include—but are not limited to—causal inference, spatial analysis, computational text analysis, and archival or ethnographic research. Postdoctoral candidates with relevant research interests
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Details Title Postdoctoral Research Fellow School Harvard School of Dental Medicine Department/Area Oral Medicine, Infection, and Immunity Position Description The Feres Lab, located within the Department of Oral Medicine, Infection, and Immunity, is currently seeking a highly motivated...
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decision-making and measure program impact. Deliver compelling presentations and communications tailored to diverse audiences. Working Conditions: Work is performed in an office setting Moderate noise level
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Public Health Academic Pipeline Program in Maternal and Child Health (MCH) of the Harvard T.H. Chan School of Public Health (HSPH) invites applications for a full-time postdoctoral training fellowship
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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of Public Health is seeking a postdoctoral fellow in maternal health. The MCH Public Health Academic Pipeline Program in Maternal and Child Health (MCH) of the Harvard T.H. Chan School of Public Health (HSPH
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: 15175 School: Faculty of Arts and Sciences Department/Area: Davis Center for Russian and Eurasian Studies Position Description: The Davis Center Postdoctoral Fellowship program offers comprehensive
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy