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a science, engineering, operational discipline, or relevant technical field (e.g., health and safety, industrial hygiene, chemistry, biology, engineering, operations, etc.) with a minimum of 5 years
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computational chemistry, computational biology, computational physics, or a related field and at least 2 years of research experience outside of Ph.D. An established track record in research and development
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Requirements: Ph.D. in Chemistry, Physics, Computer science, Machine learning, Data science, Mathematics, Biology, Medicine, or another related field. Minimum of 1 year of experience in applying machine learning
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(Tennessine – Atomic Number 117). We are engaging in open, peer reviewed, interdisciplinary research across multiple application domains from neutrons to biology, nuclear to manufacturing, and nanophase
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+ nations apply unique facilities, sophisticated tools, and signature strengths in neutron science, high-performance computing, advanced materials, biology and environmental science, clean energy, fission and
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-class systems on scope, on schedule and on budget, and the delivery of high scientific efficiency through improved system software and enabling tools for science outcomes in biology, chemistry, climate