7 distributed-algorithms-"Meta"-"Meta"-"Meta" positions at National Renewable Energy Laboratory NREL in United States
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, ideally on the distribution grid and distributed energy resources (DERs). This is a 3-month internship opportunity with the potential to extend to 12- months. To learn more about the work this group does
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. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
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or identify such property accordingly. • Conduct High Risk Property reviews and apply appropriate markings and tags to controlled items. Reports • Generate and distribute property reports. • Support GSA federal
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metrics. Familiarity with linear programming Additional preferred qualifications: Experience with data analytics, big data management, scraping data off the web, high-performance/distributed
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a team whose mission is to innovate, inform, and create value for energy systems transitions, including renewable energy, distribution systems, transmission systems, energy storage, markets and
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for design and operation of medium voltage (grid distribution) circuits and equipment Research, plan, design and implement advanced laboratory capabilities and infrastructure. This duty calls for some
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Detection: Develop and implement algorithms for identifying oscillations in the grid and extracting important oscillation modes (frequency, damping, etc.). System Strength Analysis: Use system metrics like