16 computational-materials-chemistry-physics Postdoctoral positions at University of Virginia
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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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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Workday profile. Applications that are missing materials will not receive full consideration. For questions about the position, please contact Youth-Nex , and for questions about the application process
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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
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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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@virginia.edu. For questions about the application process, please contact Margaret Weeks. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job does
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: Implement computational approaches to analyze and integrate genomic data, inclduing whole genome sequencing, single-cell RNA-seq, and single-cell cell surface protein-seq (CITE-seq). Utilize an array
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/charlottesville and https://embarkcva.com / PHYSICAL DEMANDS: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend
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posting and will remain open until filled. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job occasionally requires local and regional travel to attend
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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