48 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at National Renewable Energy Laboratory NREL in United States
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comprehensive hazard-based training programs for Laboratory personnel, translating regulatory directives into impactful learning experiences that support operational resilience and safety culture. Coordinate and
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to announce an exciting opportunity for a full-time Ph.D. intern with experience in machine learning, generative AI, foundation model, large language model, power system optimization, graphic neural network
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, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC
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closeout including turnover to end user/operations and disposition of documents, records and materials/equipment. Conducts evaluations and documents lessons learned that can be applied to future NLR projects
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to 12-months. To learn more about the work this team does, please click here Power Systems Operations and Controls | Grid Modernization | NREL . The intern will focus on tackling the renewable integration
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The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and execute research in collaboration with other researchers Perform
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composite fabrication The ability to conduct laboratory experiments with minimal supervision, with the utmost regard to safety is required. Adaptability and an aptitude for learning are critical in this role
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Experience applying ML or data-driven methods to forecasting, behavioral modeling, or pattern recognition Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
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candidate is expected to have a good knowledge of steady-state as well as dynamic modeling of power distribution systems. This will be a 3-month opportunity. To learn more about the work this team does
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various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Level II: Application of technical principles, theories and