25 computer-science-graduate-internship Postdoctoral positions at University of Virginia
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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Research Associate will: Conduct original research in data science, network science, and AI Train and supervise graduate and undergraduate student researchers Contribute to and co-author academic
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer science
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disorders. Communicate findings to the scientific community through conference presentations and publications. Preferred Qualifications: PhD in Computational Biology, Bioinformatics, Genetics, or a related
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The Biostatistics Division in the Department of Public Health Sciences in the School of Medicine at the University of Virginia (UVA) invites applications for a highly motivated Postdoctoral
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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African American and African Studies—at the University of Virginia in the College and Graduate School of Arts & Sciences . This position may be renewable for an additional year contingent upon satisfactory
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. Minimum Qualifications: PhD in Cognitive/Developmental Psychology/Neuroscience or related field. We are also open to applications from candidates who are graduating in spring/early summer 2025 with
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep