213 parallel-and-distributed-computing-phd Fellowship positions at Harvard University
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School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research
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position in Livingstone lab at Harvard Medical School in Boston Massachusetts. The work of the Livingstone lab is focused on primate inferotemporal cortex. We welcome applications from recent PhD graduates
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: Harvard T.H. Chan School of Public Health Position Description: The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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I Tatti Fellowships Eligibility: For year-long fellowships, scholars must hold a PhD, dottorato di ricerca, or an equivalent degree and will be asked to upload a scan of the certificate. They must
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that make these problems tractable, as well as computational tools and laws governing biological system behavior. We welcome applications from recent PhD graduates who are interested in these or related
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related
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and naturalistic visual paradigms in macaque monkeys, together with quantitative behavioral analysis and computational modeling, to identify circuit and population-level signatures of drug related
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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imaging at the single‑cell level. We welcome applications from recent PhD graduates interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging