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applied AI/DL research in support of the Laboratory’s missions. Basic Qualifications: A PhD in computer science or an AI-related field completed within the last 5 years. Demonstrated expertise in scalable
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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
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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