76 Computer-Science-"https:"-"https:"-"https:"-"https:" "https:" "Central State University" Postdoctoral positions at Oak Ridge National Laboratory
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learning systems. Investigate scientific foundation models, surrogate models, digital twins for different scientific disciplines Basic Qualifications: A PhD in Computer Science, Applied Mathematics
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Requisition Id 17131 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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values of Impact, Integrity, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong
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marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory
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how we treat one another, work together, and measure success. Basic Qualifications: PhD. in mechanical engineering, material science, electrical engineering, computer engineering, computer science
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[email protected] Basic Qualifications: A Ph.D. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5
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Requisition Id 17193 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
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming
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Requisition Id 16889 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific
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intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art