273 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" Fellowship positions at Harvard University
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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health
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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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skills. ● Undergraduate degree in civil engineering, geography, urban planning, urban studies, computer science, data science, economics, urban studies, statistics, or a related field. ● If you are unsure
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. in areas such as systems biology, stem cell/developmental biology, biophysics, computational genomics, microfluidics, or related fields. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise
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: 16133 School: Faculty of Arts and Sciences Position Description: We seek a postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring
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such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets
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: Cambridge, Massachusetts 02138, United States of America Subject Areas: Statistics / Machine Learning , Data Science , Statistics Appl Deadline: none (posted 2026/03/16 04:00 AM UnitedKingdomTime) Position
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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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Details Title Postdoctoral Fellowship in Computer Science - Procaccia Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding