56 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at National Renewable Energy Laboratory NREL
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research portfolio by ensuring that NLR employees understand their role in the protection of sensitive U.S. Government information. This candidate will need a broad educational and/or experiential background
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benefits package designed to support your career and well-being. Job Description This employee will collect the required data and develop fundamental methods and software tools and interfaces required
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production cost and resource adequacy models, statistical and data analysis—primarily for transmission planning and data center integration. You’ll collaborate with a dynamic team working with utilities
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Center for Integrated Mobility Sciences on database development, data processing, and dashboard development to support analysis of mobility trends and energy implications of emerging transportation
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with project team members on the following tasks: Analyze utility feeder data Analyze grid topologies and data corrections Quantify grid visibility criteria and conditions Determine best locations for
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by customers triggers Cyber input and intervention as needed, supports Cyber assessment by gathering and providing information Works with customers to maintain optimal performance and functioning
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assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing
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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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to support additional InSPIRE projects based on availability and schedule. Key Responsibilities Collect quantitative and qualitative crop data at the Big River Farm agrivoltaics research site Measure and
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such as NIMS and HSEEP. Drive continuous improvement of emergency training programs through strategic analysis and innovation, incorporating lessons learned, performance data, and evolving operational needs