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advance composite materials physics and manufacturing, additive and advanced manufacturing techniques, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial
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in biomedical data science, machine learning, biomedical artificial intelligence, and/or large language models and generative AI systems. Ideally candidates will demonstrate having led a team to
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learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy, robotics, turbulence and multiphase fluid mechanics. This position will be expected
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Position Overview School / Campus / College: College of Engineering Organization: Mechanical Engineering Title: Assistant Professor, physics-based Machine Learning/Artificial Intelligence Position
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biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy, robotics, turbulence and multiphase
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manufacturing, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy, robotics