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radioisotopes, conduct transformative R&D in isotope production and separation, reduce U.S. dependence on foreign isotope sources, and strengthen domestic supply chains for national economic resilience. This call
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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
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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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, objective, and publicly available geothermal well life cycle assessment analysis. This project will conduct research into alternative geothermal well designs that can improve the life cycle value
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, including research and analysis of technologies and methodologies for onsite energy systems. Conduct in-depth market analyses to identify opportunities for onsite energy technologies in the industrial sector
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/Responsibilities: Conduct independent research in life cycle assessment (LCA), technoeconomic analysis (TEA), and industrial energy efficiency and production optimization to support DOE Strategic Analysis and
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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: PhD in
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models that can describe rates and locales of precipitation. Major Duties/Responsibilities: Conduct independent research using atomic-scale simulation with rare event methods to understand hydroxylation
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials