43 computational-physics "https:" "https:" "https:" "https:" "IFM" uni jobs at National Renewable Energy Laboratory NREL
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to design, build, and maintain scalable and robust data pipelines analytical workflows, and computational tools that support data‑driven research across the laboratory. You will also contribute to statistical
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program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full
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with O-RAN and 3GPP interfaces (A1, E2, O1, service-based APIs) Process and analyze large-scale, time-series and streaming network data Collaborate with cross-functional teams on design, testing, and
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in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate
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degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a
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including document control, physical security (PHYSEC), information assurance (IA), personnel security (PERSEC), operational security (OPSEC), and communications security (COMSEC). In coordination with OLP
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. Basic Qualifications Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree program, or graduated in the past 12 months from an accredited institution. Candidates who have earned
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bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be
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(NLR) performs a full range of research from exploring biomass at the molecular level through biorefinery process optimization to bring biofuels and bio-products to market. The directorate’s research
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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