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about the material behavior and its impact on performance. Using simulation data to train machine learning models of microstructure evolution. Mentoring and directing undergraduate, masters, and PhD
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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. Mingjie Liu, focusing on the development and implementation in advanced machine learning and deep learning models to predict new materials and molecule properties. This one-year appointment is renewable
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colleagues, researchers, and educators from throughout the University of Florida community to create, identify, and evaluate learning resources and services in the areas of computer vision; works with students
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Analysis About the Mentor: Dr. Shao obtained his PhD degree in Electrical and Computer Engineering from the University of Iowa in 2019, under the supervision of Dr. Gary E. Christensen (IEEE Fellow, AIMBE
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with education and experience. Minimum Requirements: PhD in Computer & Information Science & Engineering or a related field. Preferred Qualifications: Special Instructions to Applicants: The search
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teams to solve sports problems using statistics, machine learning, data science, and artificial intelligence methods; and experience running a Center, Center of Excellence, Institute, Lab, or Program at a
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compliance, computer programming (Python and R preferred), data analysis and visualization, machine learning and artificial intelligence, wearable sensors, biomechanics, sports analytics, sports performance
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, and multi-omics data analysis. They also develop novel diagnostic and clinical applications in the field of comparative oncology deploying AI and machine learning. The best-qualified candidate will have
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group as well. The group's research interests include axion and dark matter phenomenology, gravitational wave phenomenology, BSM model building, applications of machine learning to particle physics, and