269 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" uni jobs at Oak Ridge National Laboratory in United States
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program requirements and/or future client needs. Provide input on how to make optimum use of the resources of the organization (i.e., Supply Chain Management). In conjunction with the supervisor, develop
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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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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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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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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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resides in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD), at ORNL. Materials for extreme operating environments is among ORNL’s signature research capabilities
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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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experimental validation of high-performance polymer composite systems. This position resides in the Composites Innovation Group in the Manufacturing Science Division, Energy Science and Technology Directorate
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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