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Requisition Id 15623 Overview: We are seeking a Research Scientist who will support a growing portfolio of research in large vision-language models, privacy preserving federated learning techniques
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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focus on designing architectures and models that effectively capture the complexities of data, provide robust confidence estimates in predictions, and generate compressed quantities of interest tailored
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to fit the proposed models to data, with a theory that explains the convergence and success of these techniques; Detailed re-analysis of the performance of the trained models to determine underlying
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develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work with the world's first exascale system
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Requisition Id 15625 Overview: We are seeking a Postdoctoral Research Associate to advance modeling and AI-driven analysis for magnetic quantum materials, with a focus on neutron scattering and
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of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design
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of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train
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Requisition Id 15512 Overview: The UT-Oak Ridge Innovation Institute (UT-ORII) is seeking a highly motivated and interdisciplinary researcher to lead advanced plant systems modeling in support of
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for simulating atomic nuclei, as well as preparing data and using machine learning models for investigating how the properties of atomic nuclei connect to fundamental questions in physics, such as constraining