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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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on a project that focusing on developing optimal sensor placement models to improve the visibility of distribution systems with high penetration of grid-edge DERs. The intern is expected to work closely
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. Within PSEC, the Integrated Devices and Systems group focuses on fast timescale challenges related to integration of high levels of inverter-based resources (IBRs), using techniques including power
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python
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devices Analyzing high-resolution data collected from electromagnetic transient (EMT) models of distribution feeders using Python Contributing and/or leading the writing of research papers and working
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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 research
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responsibilities include: Conduct transient analysis (small-signal, transient, and voltage stability) for high IBR-dominated systems Support large-scale system studies (e.g., national-scale scenarios) using
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bind and separate metals with high specificity. Key responsibilities the selected intern will include but may not be limited to: Protein production and purification Operating liquid handling robots
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keys. Reporting & Team Collaboration: Submit detailed reports concerning incidents, observations, and shift activities. Perform effectively as part of a team, ensuring respect and professionalism
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programming language for this project will be Julia, known for its high performance in scientific computing. Primary Responsibilities Contribute to the full software development lifecycle, from design and