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focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
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independently to varied school locations and at varying times during the week and group and will be expected to model professional behavior in an educational setting. Successful candidates will be able to work
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existing strengths in machine learning and, more generally, in data-driven modeling and control of complex engineering systems. Candidates with a strong background in this area are encouraged to apply
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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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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
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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