354 computer-science-intern "https:" "https:" "https:" "European Commission" positions at Oak Ridge National Laboratory
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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Infrastructure Operations Group in the National Center for Computational Sciences (NCCS) Division of the Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). Computing
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
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testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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home to more than 7,500 staff, an outstanding ecosystem of world-class user facilities, and an unparalleled breadth of expertise spanning neutron science, high-performance computing, materials and
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positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL
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, with an emphasis in Business Administration, Computer Science, Information Systems, or other business-related areas with a minimum of 8 years of related experience in SAP configuration/development
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Systems Research Section/Workflow Systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in data
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Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents
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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, Computing and Computational