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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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performance and availability of funding. About ORNL: 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
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Geoscience, Geology, Geoscience Education, Earth and Planetary Sciences, Environmental Science, Geophysics or closely related field at the start of the PD program. Excellent written and oral communication
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Location: Sofia, Sofia 1784, Switzerland [map ] Subject Areas: Computer Science / All areas Quantum Computing / Quantum Computing Artificial Intelligence Machine Learning / Machine Learning Natural Language
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford
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. Our physician assistant program was recently ranked ninth in the nation by U.S. News & World Report, and our primary care program was ranked 17. The university’s physical therapy, pharmacy and public
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. Required Minimum Qualifications: Ph.D. in Condensed Matter Physics, Materials Science, or a related field. Preferred Qualifications: Extensive experience in AI/ML and high-performance computing. Strong
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/or computational biology. They should be capable of working collaboratively, supervising others, and taking on leadership responsibilities as needed. Proficiency in scripting languages such as Python
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Subject matter expertise in ecophysiology, biogeochemistry, remote sensing and field ecology are desired. Programming experience in R, Python or other similar computing languages, as well as experience in
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Requisition Id 14889 Overview: We are seeking a Postdoctoral Research Associate who will focus on delivering groundbreaking computational chemical and materials science at the forefront