54 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at National Renewable Energy Laboratory NREL
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Posting Title Graduate Intern – Machine Learning - Solar Forecasting . 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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energy infrastructure, and develop professional competencies in scientific communication, collaborative research, and applied cybersecurity. Learn More To learn more about the work this group and center do
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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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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. 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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development for system baseline configuration and configuration management. You will work with the team to develop, maintain, and implement policy and procedure documents related to security. To learn more
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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sensor placement and communication design Develop and train machine learning model to estimate and forecast grid edge conditions Support grid applications such as DER aggregation and voltage control
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methods like API integration, prompt engineering, or fine-tuning. Experience with common machine learning libraries and platforms (e.g., PyTorch, TensorFlow, Hugging Face). Familiarity with offensive
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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