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Your Job: In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under
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for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency Your profile: Master’s degree in computer science, electrical engineering, mechatronics, or a related field
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the BANNER project for bidirectional connection of commercial vehicles for greater grid stability and increased efficiency Your profile: Master’s degree in computer science, electrical engineering
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments
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-in electric vehicles (EVs) into a vast, distributed network of mobile batteries that actively support the power grid to facilitate the deep integration of intermittent renewable power generation and
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, validation, and simulation-in-the-loop testing. By joining our team, you will contribute to an international research environment at the intersection of buildings and energy grids. Your primary tasks will be
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Senior Research Fellow, Senior Research Engineer II
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 hour ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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of experience promoting educational opportunities, admissions and financial aid information to a diverse population, and working experience with PowerPoint, Presi, google Slides, Slide Deck, Flip Grid or other
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diachronically across the 1991–2021 census waves, through the use of urban grid analysis tools. The data to be analyzed will concern the census of population, economic activities and services, and housing