29 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Lawrence Berkeley National Laboratory
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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data analysis, simulation, and machine learning, integrating resources across multiple facilities. NERSC's next major supercomputer, Doudna, will combine next generation GPUs, networking and storage
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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python. Experience with machine-learning, such as training large language models. Required Application Materials: CV Cover Letter (1 page) Publication List Additional information: Application date
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of identification is required to access Berkeley Lab sites (for more information click here). Union Represented: This position is represented by a union for collective bargaining purposes. Want to learn more about
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. Visa sponsorship is not available for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab
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at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here ). Want to learn
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-ray science for decades to come! Learn more: ALS Overview ALS-U Project What You Will Do: The student's tasks will vary based on skills and interests. Those interested in technical documentation, QA
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remote arrangements with occasional on-site travel for exceptional candidates with highly aligned experience. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal
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: This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate. Want to learn more about working at Berkeley Lab? Please visit