52 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at National Renewable Energy Laboratory NREL in United States
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Posting Title Graduate Summer Intern – Quantum Computing Emulation for Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Posting Title Graduate Summer Intern – Quantum Reservoir Computing . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
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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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chemistry support to all research and development groups within the BEST directorate at NLR. To learn more about the research within this directorate, click here: https://www.nrel.gov/bioenergy . The team is
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about the Computational Science Center and the Advanced Computing Operations Group, check out https://www.NLR.gov/computational-science/ . . Basic Qualifications Must be enrolled as a full-time student in
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com
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hybrid computing (on prem and in the cloud) Familiarity with cloud services (such as AWS S3/Glue/Athena/Lambda, Azure Blob Storage, GCP Storage/BigQuery), data warehousing solutions, and containerization
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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focuses on developing RIC rApps, xApps, and dApps, along with NWDAF-based analytics, enabling closed-loop automation and AI-powered optimization across the RAN and core network. Interns will work on cloud