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Field
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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sustainable materials for advanced agronomic applications. These materials may include polymers, composites, or hybrid systems aimed at controlled-release fertilizers, biodegradable films, or environmentally
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: Investigating membrane fouling mechanisms and mitigation strategies in desalination and water treatment processes. Developing and optimizing functional membranes, including electrically conductive membranes
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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with the primary aim of improving health services for Veterans, particularly in the areas of blood pressure control, acute and chronic kidney disease, antibiotic stewardship, and rural Veteran access
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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behavior; addictions, especially tobacco control; women’s health; chronic diseases of aging; environmental exposure and health in vulnerable populations. Scholars will have a home in one of three departments
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of food scarcity on eating behavior; addictions, especially tobacco control; women’s health; chronic diseases of aging; environmental exposure and health in vulnerable populations. Scholars will have a home
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public school of medicine. We