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-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient
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workflows that enable reliable extraction of magnetic interactions from neutron and complementary measurements in a high-performance computing environment. Major Duties/Responsibilities: Develop and apply
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
multi-scale simulations and multi-modal experiments. Perform data fusion using novel AI/ML approaches to seamlessly transfer information from simulations and experiments into data ingestion pipelines
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Directorate at ORNL, and provides the opportunity to collaborate with researchers from diverse backgrounds, including condensed matter theorists and experimentalists performing materials synthesis, device
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the development of AI architecture for holistic genomic photosynthesis modeling. Evaluate performances of AI genomic photosynthesis models. Report advances to program management and broader scientific communities
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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of renewable energy and energy efficiency management and projects excellent quantitative and analytical background acquired through research, which can be applied to conduct research analyses on on-site energy
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for the DOE Office of Nuclear Energy and National Nuclear Safety Administration, this position will grant you the opportunity to work with rare nuclear materials, and the unique facilities at ORNL, including