59 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at National Renewable Energy Laboratory NREL
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computer software programs and information systems. * Must meet educational requirements prior to employment start date. Additional Required Qualifications At least 5 years of experience working specifically
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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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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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OSU MPI Test Suite. · Experience with high-performance computing, distributed computing, and related technologies. · Ability to quickly learn new programming languages and frameworks and
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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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collaborators Engage with small-scale and emerging farmers growing on-site and learn about land access challenges Support additional InSPIRE research activities remotely as needed (e.g., assisting with
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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