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modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology studies, or economic
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scientists who harness tools of AI, data science, and computer science to improve the performance of public and social sector institutions in critical policy areas. One position will focus at the intersection
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at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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strongly encouraged to develop an independent research program. The postdoc is expected to lead and contribute to publications and will have opportunities to take on leadership roles within collaborative
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computational skills and expertise in causal inference or network science are desired but not required. Start date and term are negotiable. Additional Qualifications Special Instructions For more information
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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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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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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22101582/director-of-the-master-of-science-in-bioethics-program Return
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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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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through