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, chemistry, chemical or electrical engineering, or a related discipline completed within the last five years. Background in experimental materials physics research, including materials synthesis and laboratory
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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for our sponsors. Performing workflow containerization and liasons for stakeholder software deliverables. . Basic Qualifications: MS or PhD in electrical engineering, civil engineering, geoinformation
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Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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ORNL research through delivery of innovative, cost-effective technology solutions, providing an efficient IT user experience, while continuously improving performance, reducing complexity and risk. You