320 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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be a part of the Counterintelligence (CI) team responsible for managing and implementing the Cl Program that encompasses all contractor facilities at Oak Ridge, TN; Portsmouth, OH; and Paducah, KY. We
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team, including experimental and computational colleagues. Timely dissemination of research results through publications and presentations at scientific conferences and workshops. Maintain a strong
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team, including experimental and computational colleagues. Timely dissemination of research results through publications and presentations at scientific conferences and workshops. Maintain a strong
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to support the user communities. You will work closely with a focused group of scientists, technicians, and engineers on challenging, fast paced technical projects in support of the DOE Isotope Program. This
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, the Transportation Program Director, and other directorate leadership to: Establish and implement the science and technology directions for the section; Support the Group Leaders to ensure their success and the
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in computer science, electrical engineering, or a related field and six (6
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Requisition Id 15918 Level: TP03 Overview The Project Management Office (PMO) of the Oak Ridge National Laboratory (ORNL) seeks a Project Controls Staff Member for the government computing facility
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program with a minimum of 5 years of journeyman experience or 10 years of documented experience in the crane and rigging industry. Ability to operate all types of load handling equipment including, but not
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solutions to compelling problems in energy and security. Our diverse capabilities span a broad spectrum of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science
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performing x-ray computed tomography (XCT) imaging and the data analysis of images acquired using that method to identify features of interest and perform quantitative 3D image segmentation. The candidate will