61 high-performance-quantum-computing-"https:"-"https:" positions at National Renewable Energy Laboratory NREL
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.) Experience with big data tools (e.g., Hadoop, Spark, Kafka, etc.), data pipelines, and software development frameworks Experience with parallel programming (High Performance Computing experience is a plus) and
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, and state estimation. We develop next-generation analytical frameworks and software tools to enhance situational awareness, adaptive control, and resilient operation of modern distribution systems with
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-performance computing systems. The researcher will develop mathematically sound approaches for transmission and capacity expansion as applied to the bulk electricity systems to enhance economics, reliability
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progressively responsible experience in training program development, instructional delivery, curriculum design, or qualification systems within high-hazard, highly regulated, or complex operational environments
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models for power system optimization problems. Your primary mission will be to leverage your expertise in AI foundation models and power system optimization to revolutionize power system operation and
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application to energy systems applications Hands-on experience with JuMP.jl or similar algebraic modeling languages (e.g., Pyomo, GAMS, AMPL). Familiarity with high-performance computing (HPC) environments
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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 the distribution grid with distributed energy resources (DERs) and modeling of cyber/network components Proficiency in using Python Preferred Qualifications Experience in using high performance computers, Linux
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Laboratory of the Rockies (NLR) is inviting applications for internship positions to work in the area of modern power systems with high-level of inverter-based resources (IBR). This position will perform power
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, quality of life, and energy use. Analyze large-scale real-world travel activity, vehicle driving, and geospatial datasets using scalable, high-performance computing approaches. Contribute to the development