19 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Lawrence Berkeley National Laboratory
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-structured, accessible, and optimized for use by domain scientists and downstream AI applications. This position will analyze complex business and data management challenges and will design automated, cost
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-structured, accessible, and optimized for use by domain scientists and downstream AI applications. This position will analyze complex business and data management challenges and will design automated, cost
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documents into appropriate structures for efficient training, establishing evaluation metrics to validate model performance, and improving the fine-tuning process with additional reinforcement learning steps
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to evaluate programs, measure effectiveness, and inform recommendations, leveraging technology and innovation while adhering to responsible data use. Ensure coordination of activities with other HR functions
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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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, water use, and carbon emissions. You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials
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over time: Solvers and preconditioners for sparse structured linear systems Solvers and preconditioners for sparse structured linear and nonlinear eigen systems Tensor algebraic problems Bayesian
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project supported across multiple Molecular Foundry facilities. Develop and design methods using automated robotics for protein expression, purification and surface conjugation on microarray substrates
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audits to ensure alignment with pay structures and retention goals. Support annual compensation cycles and strategic internal movement. Organizational Development & Change Management: Partner with leaders