18 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Lawrence Berkeley National Laboratory
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on the U.S. energy sector. Our research seeks to inform public and private decision-making on issues such as electricity system planning, energy resources and delivery, new large loads, reliability
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to research concepts and projects from funders, such as the U.S. DOE Vehicle Technologies Office and the U.S. Federal Highway Administration - in coordination with other national lab researchers Lead more
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part of something extraordinary at Berkeley Lab! About Berkeley Lab: Berkeley Lab is a U.S. Department of Energy national laboratory managed by the University of California and designated a Federally
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. Work authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position. Union Represented: This position is represented by a union
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statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML
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scientific workflows to join our team to help scientists take advantage of the most powerful computers in the U.S. As a member working at NERSC in the Data Science Engagement group, you will leverage cutting
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annually, which fits within the full salary range of $139,440 - $235,308 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position
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Demonstrated software development experience on Linux / Unix platforms involving: code contributions in Python and/or JavaScript design of systems, interfaces, and data models scalable distributed systems and or