19 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at University of Virginia in United States
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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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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those goals, we employ a variety of research methods that explicate the psychological and neurobiological mechanisms of chronic pain. These include intensive longitudinal methods to assess behavioral and
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management, and implementation/coaching supports. Methods expertise in one or more of the following areas: survey data analysis; data visualization; research-practice partnerships; conducting applied research
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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
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and application of imaging methods for pulmonary disease, with a particular emphasis on magnetic resonance (MR) imaging using hyperpolarized 129Xe gas. The initial appointment will be for 1 year, with
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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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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
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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