264 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Oak Ridge National Laboratory
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, experimentalists, and engineers conducting basic and applied research in support of the Laboratory’s missions. Ensure compliance with environment, safety, health, and quality program requirements per ORNL’s
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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, engineers, and technicians. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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Requisition Id 15418 Overview: The Stable Isotope Materials and Chemistry Group (SIMC) within the Plasma Enrichment Science and Engineering Section is seeking a Stable Isotope Processing Chemist who
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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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research strategy to ensure the success of new and ongoing research projects related to AI and ML science and technology. Provide technical insights for program and project development. Lead teams to define
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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