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measure success. Basic Qualifications: A BS degree in engineering, science or physics. Knowledge of fundamental circuit design and analysis principles. Demonstrated technical knowledge which includes one
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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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of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: Ph.D. in mathematics, engineering, data/computational science
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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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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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. Basic Qualifications: A Ph.D., conferred after January 1, 2023 and no later than August 2026, in applied or computational mathematics or a related area, such as computer science, physics, engineering, or
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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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, you will work with groups of scientists across ORNL and the University of Tennessee (UT) to develop and apply physics-informed AI surrogate models for scientific simulations to accelerate research in
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provide wholly new capabilities for the study of a broad range of materials with neutron scattering and support thousands of users from the physical, materials, and applied sciences as well as industry