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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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for applications in material sciences and condensed matter physics. This role will involve performing leading-edge computational condensed matter and material sciences research and development. Priorities include
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
Searches related to space physics
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