55 parallel-computing "https:" Postdoctoral research jobs at Pennsylvania State University
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computational modeling in precision medicine and personalized healthcare prediction. The postdoctoral position will work with Dr. Wenrui Hao to develop computational methods and build mathematical models related
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models Strong quantitative, imaging, or computational analysis skills BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance
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to practice veterinary medicine in 1 or more US state(s). The start date for the residency will be July 1, 2026. Applications should be submitted to https://hr.psu.edu/careers and include a cover
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work in a highly collaborative interdisciplinary environment and will have an opportunity to validate their computational findings in an experimental laboratory. We are part of the Center for Medical
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can obtain information about our prior research at: https://research.med.psu.edu/smoking/. The position will remain open until filled. For more information contact tcors@psu.edu . BACKGROUND CHECKS
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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of computational and theoretical chemistry. Research will involve the modeling of molecular materials based on model and ab-initio calculations. Projects will include, but are not limited to, and the topological
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collaborative and interdisciplinary team. Candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. Candidate should
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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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of head and neck squamous cell carcinoma (HNSCC). The overarching goal of the research program is to identify biologic determinants of tumor control and normal tissue injury following radiation therapy, and