245 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory
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Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
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conducting a variety of experimental projects on irradiated materials and is located within the Materials in Extremes Section of the Materials Science and Technology Division at ORNL. A successful candidate
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directly to the Deputy for Science and Technology, will design and implement a multi-tier data strategy encompassing the full data lifecycle, curation, analytics, AI enablement, and compliance automation
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: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training
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(UAS/UAV). Demonstrated experience with uncrewed systems and/or robotics. Degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, Aviation
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computational colleagues. Timely dissemination of research results through publications and presentations at scientific conferences and workshops. Maintain a strong commitment to the implementation and
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the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD), at ORNL. MSTD is central to ORNL’s world-leading research and development of innovative design, processing, and tailoring
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. Work must be completed independently and with direct communication with engineers and scientists. Competence with all relevant equipment, computer systems, software programs, established procedures and
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through papers, artifacts, and presentations at top-tier venues. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, a physical/computational science discipline (e.g., physics, chemistry
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through