48 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at National Renewable Energy Laboratory NREL in United States
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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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will continue to build from our learnings. https://pubs.rsc.org/en/content/articlelanding/2025/gc/d5gc01813g https://pubs.rsc.org/en/content/articlehtml/2018/gc/c7gc03747c https://pubs.rsc.org/en/content
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to see the following publications for some context: https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc00765d https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc04533e https
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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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-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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enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability
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reactor-scale simulations Knowledge of or experience with catalytic processes (modeling or experimental) Knowledge/experience with machine learning i.e. tensor flow/PyTorch . Job Application Submission