24 phd-computer-science-fully-funded 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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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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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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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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· Effective written and verbal communication skills. · PhD degree in computer science, data science, or related fields, to be completed by the start date of the appointment. · Strong software
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Research Associate position, with the possibility of extension based on an annual basis dependent upon satisfactory performance and the availability of funding. This position is part of the Preventive
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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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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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, including the notion that mind and brain are distinct and separable and that some aspect of consciousness may survive physical death. This position is funded by the Philip B. Rothenberg Research Fund, and the