232 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" positions at Oak Ridge National Laboratory in United States
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classified research and development to support data analysis. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research
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as part of the UT-ORII Convergent Research Initiative on the Development and Advancement of Radiopharmaceutical Therapies (DART). UT-ORII was founded in 2019 by the University of Tennessee and Oak
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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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as SLURM or PBS. Familiarity with basic cyber-security principles (e.g., firewalls, network segmentation, secure configuration). Basic web development skills (e.g., HTML, CSS) for lightweight
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Requisition Id 15869 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Research Professional in simulation area to directly contribute to materials development and manufacturing R&D, with
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and understanding of cyber security research and events. Contribute material to reports generated for project sponsors. Assist in the development of research proposals related to vulnerability science
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regulators to achieve and maintain approval of compliant safety basis documentation. Understand DOE requirements and guidance in order to assist in the development and implementation of safety basis analysis
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management of secure systems. Purpose: As part of our research team, you will provide Research and Development (R&D) leadership to a thematic area of science and technology that integrates several thematically
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scientific vision and strategic priorities aligned with DOE BER, ASCR, and joint BER–ASCR missions. Lead the development of AI‑enabled, data‑centric, and HPC‑integrated biological research programs that couple