87 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National Renewable Energy Laboratory NREL
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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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years. This position will work primarily on a Center for Bioenergy Innovation (CBI) project, in which we are developing new approaches to cost-effectively convert biomass into realistic biofuels. https
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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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Laboratory of the Rockies (NLR) is seeking is seeking a motivated and detail-oriented post-undergraduate intern for a 9-month, full-time position. To learn more about our research click here: https
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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
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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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-native, microservice-based systems that apply machine learning and advanced analytics to real network data, contributing to next-generation autonomous networks. Key Responsibilities Design and implement
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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