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the NLR Computational Science Center has an opening for a graduate student researcher interested in benchmarking High Performance Computing (HPC) systems in order to evaluate AI/ML workflows. We are looking
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Posting Title Graduate Summer Intern – Readiness for quantum computing in materials science . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is
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items are properly managed/delivered in accordance with the NLR Project Management Handbook and Capital Investment Program Guidelines: Communicate accurate and reliable project status and performance
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other feedstocks undergoing catalytic and thermochemical conversion processes using process scale models. Responsibilities include: Performing simulations using high-fidelity Computational Fluid Dynamics
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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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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