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, their integration into power grids presents unique challenges in grid stability, oscillation detection, and control. This project involves analyzing and interpreting real-time data from over 100 Phasor Measurement
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the preparation of publications Managing data through collation and validation of large scale data sets for power system analysis Collaborate with NREL researchers in a team based environment . Basic Qualifications
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of information into assessments • contribute to the planning and execution of research and analysis • communicate scientific results effectively, both written and oral
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large-scale, high-fidelity cybersecurity experiments and modeling. We are seeking a technically strong and research-focused professional to contribute to cyber adversarial science, threat emulation, and
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applied research at the intersection of cybersecurity, energy systems, national resilience, and data-centric research infrastructure—developing the tools, architectures, methods, and scientific foundations
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. Represent NREL as the technical leader for the ARIES Cyber Range as well as the principal investigator for other large projects and programs Drives proposal strategy, identifies new sponsor opportunities, and
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-learning, neural networks, capacity modeling, forecasting techniques, statistical analysis, and data analysis among other research techniques. You would join a highly collaborative team of distribution
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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able to: assimilate a wide variety of information into assessments contribute to the planning and execution of research and analysis communicate scientific results effectively, both written and oral
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electric distribution systems research, using power-flow modeling, optimization, machine-learning, neural networks, capacity modeling, forecasting techniques, statistical analysis, and data analysis among