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. The selected candidates will conduct research in data science and AI to develop scalable, deployable methodologies to assess and to improve manufacturing quality, efficiency, and certification readiness
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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research assignments related to advanced thermal and energy system technologies, including: Conduct experimental and analytical research to evaluate advanced thermal and energy technologies, including energy
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scalable applications for future architectures through the use of proxy or mini-applications. Applying large-scale computational methodologies to meet scientific objectives. Conduct research and report
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. Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Collect, analyze, and leverage telemetry data from HPC systems
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individually and in collaboration with research partners. Conduct research in developing novel membrane, solvent extraction, and ion exchange processes targeting high capacity and selectivity for the extraction
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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avoidance, autonomous exploration, frontier selection, and localization-aware trajectory planning. Develop high accuracy point cloud registration and mapping workflows. Plan and conduct experiments
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deep learning models using the Oak Ridge Leadership Computing Facility (OLCF) systems. Conduct research with scalable transformer-based foundation models with large volumes of spatiotemporal physical
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, radiological health, medical physics, nuclear engineering, applied mathematics or a closely related discipline) Sound foundation in radiation transport, behavior of radionuclides in biological systems, and/or