55 scientific-programming Postdoctoral research jobs at Oak Ridge National Laboratory
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Requisition Id 15147 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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and external. Timely dissemination of research results through publications and presentations at scientific conferences and workshops. Maintain a strong commitment to the implementation and perpetuation
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Extremes Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). The selected individual will mainly perform research on irradiated
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs
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Requisition Id 15122 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions
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Requisition Id 15105 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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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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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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Requisition Id 14977 Overview: The Manufacturing Energy Efficiency Research & Analysis (MEERA) Group, housed within the Manufacturing Science Division (MSD), Energy Science and Technology
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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