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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
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. Mentors doctoral, masterâ™s and undergraduate students engaged in independent research activities. Develops proficiency in career skills, including writing, public speaking, networking, and critical
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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
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that can be implemented across multiple studies within research networks. Support quality assurance processes to ensure consistency in how economic data are captured, coded, and reported across participating
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computing, data science, networking, and distributed systems with cross-cutting concerns of security and privacy. Position Summary The Computer Science Department at the University of Oregon invites
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The climate system can be considered in terms of the net imbalance between absorbed shortwave radiation
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encouraged and supported to develop career skills, including writing, public speaking, networking, and applying for independent fellowships and grants. Training will be provided in disciplines with which