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Post-Doctoral Fellow-Machine Learning in Thermal-fluid Sciences
Position Number: POST40Department: College of Engineering (Col)Employment Type: Temporary - Full-timeMonths Per Year: 12Essential Duties and Responsibilities: The candidate will work in a convergent team environment with data scientists and engineers to integrate machine learning, data science, and artificial intelligence methods for applications in advanced manufacturing, thermal management, and energy security. The candidate will also lead projects and supervise graduate students. Prior experience in scientific machine learning is highly desired.Minimum Experience / Education: The Complex Fluids and Multiphase Transport Lab at the Uni
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