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the broad field of data science to develop new data driven methodologies to assess and to improve the quality of components fabricated using Additive Manufacturing and Carbon Fiber Manufacturing processes
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on an accelerator test stand to understand intensity effects in the SNS front end. Carry out measurement and analysis of high dimensional (6D) beam distributions, as well as develop improved procedures. Perform
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researchers from across ORNL with expertise in chemical separations, materials and nano science. The scientific effort will both predict materials properties as well as test and develop novel high performance
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level, as well as to put this fundamental knowledge to use in real-world applications Write and submit requests for beamtime through user proposals Plan, prepare and conduct X-ray absorption spectroscopy
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economics. The candidate will benefit from the unique capabilities at ORNL and will have the opportunity to develop cutting-edge research supporting clean, renewable, and sustainable energy. The candidate
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sorbent technology for critical mineral extraction. This project will develop materials and processing technologies that will result in a transformational improvement in battery electrode and rare earth
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class facilities for neutron powder diffraction, and density functional theory calculations. The position will allow the postdoctoral scientist to develop expertise, broaden experience and interact with a
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Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need
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develop approaches to simulate quantum states of matter on quantum computers as well as approaches to measure and verify their physical properties such as entanglement. Your work will involve collaboration
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and