40 scientific-computing Postdoctoral positions at Oak Ridge National Laboratory in United States
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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
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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field of study. Experience in computational fluid dynamics or thermal hydraulic simulation. Proven scientific research ability evidenced through peer-reviewed publications and/or presentations
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the Foundational Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position provides an opportunity for excellent
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for microreactors. This position resides in the Nuclear and Extreme Environment Measurements (NEEM) Group in the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science Directorate at Oak Ridge
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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. Supporting the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs
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Requisition Id 15262 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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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing