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for building system dynamics models and for converting those models into probabilistic programs so their parameters can be inferred from data. The successful candidate will extend the mathematical and
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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and deliverables Regularly report to research staff and project sponsors on the status of projects Ensure compliance with environment, safety, health and quality program requirements Maintain strong
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, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering
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Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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still providing robust privacy guarantees. Develop novel privacy-preservation methods that accommodate the diverse privacy requirements of a large number of clients. Develop novel mathematically rigorous
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computational science background in Computer Science, Applied Mathematics or related field. Deep understanding of application development techniques (programming models, algorithms, software) at scale (large
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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National Laboratory (ORNL). Major Duties/Responsibilities: Interacting with a team of experts at ORNL on projects evaluating the U.S. Department of Energy Weatherization Assistance Program and its efficacy
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major