28 parallel-and-distributed-computing-phd-"Multiple" positions at National Renewable Energy Laboratory NREL
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Posting Title Advanced Computing Operations Manager . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National Renewable Energy Laboratory (NREL), located
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student in a master’s degree program from an accredited institution. Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD
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person with enthusiasm for the research mission, proven ability to coordinate and communicate across multiple teams, and a desire to deliver high quality laboratory engineering and technology. This
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lead one or more subprograms for its geothermal R&D program based at the NREL Golden Campus.The successful candidate(s) will be responsible for establishing and advancing geothermal research, development
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computer science, electrical engineering, or related field or be enrolled in a PhD program in these fields. Experienced in one or more ML/AI techniques, such as reinforcement learning, federated learning, natural
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status of work assignments. Implement best practices for EPM administration. Adherence to Cyber Security guidelines for the proper security management and administration of EPM. Manage multiple purpose
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Master's Degree and 7 or more years of experience or equivalent relevant education/experience. Or, relevant PhD and 4 or more years of experience or equivalent relevant education/experience. Or, relevant JD
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computing resources for larger scale analyses. Work with existing Generalized Transit Feed Specification (GTFS) data as well as develop/enhance an existing codebase that modifies GTFS data. Quantifying and
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related field, OR currently enrolled in a PhD program in these fields Experience with molecular modeling techniques, such as molecular dynamics simulations, quantum mechanics, protein structure prediction
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on the integration of systems for optimized energy consumption, generation, and storage in the built environment at multiple scales. Our research focuses on efficiency, decarbonization, resiliency, affordability