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we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in Physics, Electrical/Nuclear Engineering, Materials Science, or a related field completed within the last 5
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. Construct machine-learning models for feature-based molecular property prediction and drive the inverse design of ligands with engineered properties. Develop machine-learned interatomic potentials trained
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Requisition Id 14166 Overview: The Grid Interactive Controls Research Group (GICR) in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology
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collaborate with experts across diverse fields. Together, we address some of the most compelling challenges in science and technology, utilizing cutting-edge technologies and developing innovative solutions