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Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi
AI tools that can control simulation and/or experiments. Present and report research results and publish in peer-reviewed journals in a timely manner Ensure compliance with environment, safety, health
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visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research
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management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires
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simulations for fermionic and Hubbard-like materials models • Collaborate within a multi-disciplinary research environment consisting of quantum computing experts, computational scientists, and condensed
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manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission
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). Demonstrated expertise in data preprocessing pipelines, AI-ready dataset design, or scientific workflows in HPC environments. Proven experience with modern data frameworks (e.g., PyTorch, TensorFlow), scalable I
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solutions to compelling problems in energy and security. The Environmental Sciences Division of Oak Ridge National Laboratory (ORNL) seeks a creative individual for a postdoctoral research associate position
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. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Integration of memory encryption, confidential computing, and trusted execution environments on both
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(Xilinx Vitis/Vivado, Intel Quartus, HLS tools) HPC environments or GPU-accelerated computing On-detector firmware or data acquisition systems Familiarity with HEP data formats and reconstruction
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, multidisciplinary team environment. Preferred Qualifications: Knowledge of uncertainty quantification methods and causal inference for complex environmental systems. Experience with large-scale Earth system