18 evolution "https:" "https:" "https:" "U.S" positions at Lawrence Berkeley National Laboratory
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
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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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, and computer science. We are seeking candidates with specific interests in the design and development of integrated transportation models at various scales and levels of resolution, including agent
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Shutdown every year. Parental bonding leave (for both mothers and fathers) You will work on: Programmatic LLM usage for literature data extraction Development of frameworks and procedures for agentic LLM
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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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click here ). Relocation: This position is not eligible for relocation assistance. Work Authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not
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: 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 for collective bargaining
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acquisition, performance management, employee and labor relations, engagement, and talent development. Serving as the primary relationship manager for the client group, the HRSP partners closely with Lab
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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