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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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the UK require step-change performance of electrical motors from a state-of-the-art continuous power density of 2-5 kW/kg to 10-25 kW/kg by 2035. Incremental improvements in electrical machines built from
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: Candidates for open-rank positions should hold or be nearing completion of a Ph.D. in business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence
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technology goals of the U.S. Department of Energy, NREL, and industry partners toward a sustainable energy future. We work with the electricity industry and broader research community to conduct high-impact
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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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technologies (such as electric vehicles and heat pumps) in Low Voltage (LV) networks. PEDs include Soft Open Points, Static Compensators (STATCOMs), and Smart Transformers (STs), which have been trialled and
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contribute to advanced data science and AI-focused research projects within the UNT NSF IUCRC Electric, Connected and Autonomous Technologies for Mobility (eCAT Center). The RA will work under faculty