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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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The School of Social and Behavioral Sciences (SSBS) at Arizona State University (ASU) invites applications for a postdoctoral research scholar with interests in Natural Language Processing and/or
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for transportation and industry, and make the U.S. power system more reliable, affordable, and resilient. Innovator Fellows can spend up to two years participating in the program. When completing this application, you
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Requisition Id 15076 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Department Contact Email hli-byarlay@centralstate.edu Job Summary/Basic Function Agriculture Research Development Program (ARDP) in the College of Engineering, Science, Technology and Agriculture (CESTA
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for the DOE Oak Ridge Environmental Management Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Have a cumulative GPA of 3.0 on a
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media Scientific machine learning Excellent programming skills in Python and C++ and prior experience with High Performance Computing Strong written and oral communication skills Appointment terms and
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical