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to the target. These systems typically incorporate PLC, VME, or MicroTCA hardware, all integrated using the Experimental Physics and Industrial Control System (EPICS) framework. In this position, the focus is
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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US . Overview: The HRIS Functional Analyst IV serves as a senior subject
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experimental facilities. You will be responsible for developing energy-efficient, physics-aware algorithms designed for distributed learning across both high-performance and edge computing environments. You will
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of equipment and research and development of processes for combining/separating chemicals, compounds, and related products and materials using principles and technology of chemistry, physics, mathematics
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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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fundamental mathematical methods and algorithms needed to model complex physical, chemical, engineered and biological systems. ORNL’s computational science research focuses on extreme scale computing and data
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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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Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in physics, chemistry, biochemistry or a related field completed within the last five years
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, physics-based simulations of fusion energy systems in partnership with the University of Tennessee-Oak Ridge Innovation Institute (UT-ORII). As part of the UT-ORII Convergent Research Initiative