351 professor-computer-science "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" positions at Oak Ridge National Laboratory
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perform various tasks related to processing badge requests and activations for ORNL employees and subcontractors. ORNL is the largest US Department of Energy science and energy laboratory, conducting basic
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to the development of new initiatives in their area, and interact with ORNL staff, industry, and academic partners. This position is in the Sustainable Manufacturing Technologies Group in the Manufacturing Science
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at Oak Ridge National Laboratory (ORNL). This position resides in the Materials Theory Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at ORNL. Major
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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. or M.S. degree in electrical engineering, computer science, or a related discipline with a minimum of twenty years of experience (B.S.) or sixteen years of experience (M.S.). Experience in grid sensing
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standards for the Integrated Control System (ICS) at the Spallation Neutron Source (SNS). This position resides in the CF & Vacuum Group in the Controls Section, RAD, Neutron Sciences Directorate at Oak
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testing program. 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 challenges. Our team
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to develop and apply interdisciplinary teamwork skills, as they will be expected to work with researchers in water resources engineering, computation, informatics, ecology, and environmental economics
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: MS in electrical, computer engineering, or related
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Postdoctoral Research Associate in the areas Artificial Intelligence (AI) for Integrated Hydrology Modeling. The successful candidate will have a strong background in computational science, data analysis, and