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visualizations to communicate research findings. Build tools to pull, clean, process, and integrate diverse datasets into existing workflows Strengthen GPAC’s capabilities in transmission planning and data center
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for LCA, TEA, and other analytical frameworks. Explore and prototype the use of large language models and advanced analytics to enhance energy systems research. Visualize analytical results and communicate
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on NLR’s HPC Collaborate with NLR researchers to assess tradeoffs between model detail and computational time Process and visualize results to inform algorithmic design Author, present and assist in
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environment Simulation and emulation of experiments related to cybersecurity and resilience using NREL Cyber Range Data analysis, virtualization, visualization, and reporting Performing literature reviews and
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GIS/mapping tools (ArcGIS) for spatial data visualization Experience with community-based participatory research or citizen science Background in cost assessment, economics, or cost-benefit analysis
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or analytical tasks Proficiency in at least one programming or analytical tool such as Python, R, MATLAB, or SQL Ability to create clear and accurate data visualizations using tools such as Python (Matplotlib
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Conduct vulnerability analysis Perform data analysis, virtualization, visualization, and reporting Conduct literature reviews and background research Publish research results in reputable conferences
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software applications. You'll work alongside world-class scientists and software engineers to design, develop, and deploy tools that analyze and visualize the future of energy. If you have a passion for
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more than 100 PMUs) to monitor power system stability and detect grid disturbances Create visualizations of grid strength and stability based on PMU Data such as heat maps of grid inertia, voltage profile
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emulation of experiments related to cybersecurity and resilience using NREL Cyber Range Data analysis, virtualization, visualization, and reporting Performing literature reviews and background research