16 computational-drug-design-phd-position Postdoctoral positions at University of Virginia
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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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the development of novel therapies for coronary microvascular disease. The research program focuses on clinical translation and the development and validation of existing and novel cardiac imaging-based
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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 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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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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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 University of Virginia (UVA) seeks a Postdoctoral Research Associate position in the laboratory of Bon Trinh. Ph.D., Tenure-track Assistant Professor of Pathology and UVA Comprehensive Cancer
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The Department of Genome Sciences at the University of Virginia is seeking a highly motivated candidate for a Postdoctoral Research Associate position in the Miller Lab . The successful candidate
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities
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Research Associate. This position offers an excellent opportunity to work alongside Dr. Hong Zhu and a multidisciplinary research team, contributing to innovative methods in comparative effectiveness