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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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fabricated using advanced manufacturing processes. Purpose: You will be working at the MDF to advance digital manufacturing technologies and to facilitate and accelerate their deployment to industry. The MDF
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Requisition Id 15430 Overview: We are seeking a post-doctoral research associate who will focus on membrane and sorbent materials and processes for advanced separations and purification applications
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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of formulation, coating methods, and carbonization/sintering process, as well as the design of novel vitrimers for adhesives and fiber reinforced composites. This position resides in the Soft Materials and
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to cutting-edge research aimed at transforming scientific data management and workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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forecasting, and dynamic safety modeling using Generative AI techniques. The role will involve working with LLMs and AI agents to process, generate, and reason over large volumes of historical and real-time
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research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s mission. Specific responsibilities
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years