73 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at National Renewable Energy Laboratory NREL
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the BEST directorate at the National Laboratory of the Rockies (NLR) is seeking an summer undergraduate or post-undergraduate research intern to perform computational modeling and data analysis to enable
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researchers, policymakers, and industry leaders solve some of the world's most pressing energy challenges. This role focuses on turning complex scientific energy models and data into robust, user-friendly
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++, or other languages, enabling automation, data-driven analysis, and modeling integration across projects Expert-level knowledge of ICS, OT, and energy sector systems, including protocols, architectures, and
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identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding
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instrumentation Programming experience in Python, particularly for data analysis and experimental automation . Job Application Submission Window The anticipated closing window for application submission is up to 30
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applied research at the intersection of cybersecurity, energy systems, national resilience, and data-centric research infrastructure—developing the tools, architectures, methods, and scientific foundations
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basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed
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for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry
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, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual
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Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status