57 web-programmer-developer-"https:"-"UCL" Postdoctoral positions at Oak Ridge National Laboratory
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the Nuclear Energy and Fuel Cycle Division, Fusion and Fission Energy and Science Directorate at Oak Ridge National Laboratory (ORNL). The FCCI Group applies modern materials science to design, develop
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artificial intelligence (AI). The successful candidate will play a key role in developing a multi-modal generative AI framework aimed at exploring how coastal wetland ecosystems across the Southeastern
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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seeking to advance the separation science and technology for clean energy applications. Work with the Separation Technologies team to support a broad range of program development opportunities in the field
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novel quantum sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions Interpret, report, and present
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breaking in nature, the limits of nuclear stability, and signatures of new physics beyond the Standard Model. Major Duties/Responsibilities: Develop formalism and methods for computing properties of nuclei
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, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML
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-performance polymer nanocomposites, the development of novel thermally conductive adhesives, thermally conductive interface materials/polymer nanocomposite and their manufacturing, and development of polymer
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more
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binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance