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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis
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learning, data, data science, computational biology, biomedicine, biology, biomedical science, data, science, curriculum, teaching, faculty, postdoc, genetics, neurology, neurobiology, neuroscience
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Program Description The Graduate Women In Science (GWIS) National Fellowship Program promotes knowledge in the natural and social sciences and encourages women’s academic and professional careers in
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22-Apr-2025 Faculty of Arts and Sciences 68179BR Job Summary The Institute for Quantitative Social Science (IQSS) at Harvard University recently established a new Program on Higher Education
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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research associates to develop and apply theoretical and computational approaches to study complex cell biological systems. The emphasis will be on combining statistical inferences and biophysical modeling
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has been moved. We suggest going back to the home page , browse using the site’s menus, or try the site search . location_on Program on US-Japan Relations Weatherhead Center for International Affairs
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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Born in Chicago, Dr. Yerby was the youngest of four children. After finishing high school, he enrolled at the University of Chicago and then went on to study medicine at Meharry Medical College in Nashville, Tennessee—one of only two black U.S. medical colleges in existence at the time. After...
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theoretical and computational approaches to study complex cell biological systems. The emphasis will be on combining statistical inferences and biophysical modeling to analyze single cell cross-sectional data