73 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at University of Washington
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Scheduled Hours 37.5 Position Summary WashU’s Office of Postdoctoral Affairs (OPA) is seeking a Program Manager for Postdoctoral Services and Operations, who reports directly to the Assistant Vice
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in advanced ultrasound methods for both cardiovascular imaging
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neutrinos with an emphasis on discovering physics beyond the Standard Model. The Center hosts a broad program including LEGEND, He6-CRES, Project 8, Selena, PIONEER, and others. Our professional engineering
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letter, CV with bibliography, a statement summarizing research achievements and interests, and three confidential letters of reference. Please contact Prof. Elise Novitski (facsrch@uw.edu) with any
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Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is recruiting a motivated, creative, self-driven
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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internship program, and numerous post-doctoral clinical and research fellowships. Learn More: https://psychiatry.uw.edu/ Salary The base salary range for this position will be $5,705 to $6,000 per month
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard