20 phd-rehabilitation-engineering-computer-science research jobs at University of Virginia
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, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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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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research team of faculty, postdoctoral associates, and graduate student research assistants. Research in the CIRCL co-lab investigates how contemplation intersects with themes of nature, technology, and the
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the Center’s Presidential Oral History Program and will support the Program’s efforts to conduct oral histories of recent presidential administrations. Established in 1975 through a generous gift from
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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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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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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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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs