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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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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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the research program. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as systems neuroscience, visual neuroscience, neurophysiology, computational neuroscience, biomedical engineering, psychology, physics
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one year with a possibility of renewal based on performance. Basic Qualifications Candidates must have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will
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. The fellow will also manage the editorial process for external submissions. Support and Development of Open Access Digital Resources The fellow will collaborate with software developers to maintain and enhance
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description The Farhat Lab in
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have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong
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of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and computational research skills in one of the following areas: Economics: PhD in Economics or Strategy
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articles, (e.g. for JSTOR Daily where we publish a Plant of the Month feature) and peer-reviewed articles. The fellow will also manage the editorial process for external submissions. Support and Development