507 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" "Dr" "Dr" positions at University of Virginia
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on research directions and recent publications can be found on the lab’s website . The PI, Dr. Chongzhi Zang, is the inaugural Director of Computational Genomics at the UVA Comprehensive Cancer Center and a
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(Department of Nursing Research). Mentorship will be provided by senior colleagues, Drs. Ishan Williams and Ariel Williams. Candidates will gain comprehensive mentorship and training in precision health
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, computational methods, social network analysis, and natural language processing. The position will begin Fall of 2026. Dr. Shuman’s lab focuses on understanding how social protests drive social change
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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Biology and Stem Cell Biology in the laboratory of Dr. Lu Le , Professor and Chair of the Department of Dermatology. Dr. Le's lab lab investigates how genetic and microenvironmental factors interplay
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Dr. Teague Henry at the University of Virginia invites applications for a post-doctoral research associate with expertise in intensive longitudinal data, machine learning, and digital intervention
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The Department of Pediatrics at the University of Virginia is seeking a part-time laboratory specialist position to support the research of Dr. Patricio Ray. The laboratory specialist will assist Dr
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on studying Cancer Biology and Stem Cell Biology in the laboratory of Dr. Lu Le , Professor and Chair of the Department of Dermatology. Dr. Le's lab investigates how genetic and microenvironmental factors
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics