20 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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, 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
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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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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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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