20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Lawrence Berkeley National Laboratory in United States
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, constrained-DFT, TDDFT, TDDFT tight binding, or NAMD. Additional information: Application date: Priority consideration will be given to candidates who apply by March 13, 2026. Applications will be accepted
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. The Measurement and Analysis Team is a group of engineers that provides innovative network measurement and analysis services to ensure the effective movement of scientific data between DOE and partner facilities
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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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information: Application date: Priority consideration will be given to candidates who apply by April 30, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full
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limited data. The successful candidate should have a technical/quantitative background (engineering or economics) and strong experience conducting engineering assessments and/or economic analysis. Some
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IDEA Information Links: Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.
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Letter (1 page) Publication List Additional information: Application date: Priority consideration will be given to candidates who apply by February 5, 2026. Applications will be accepted until the job
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of Perlmutter and connect directly to DOE experimental and observational facilities so research teams can stream and analyze data in near real time. You will collaborate with NERSC staff, domain scientists, and
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-tuning and/or Retrieval-Augmented Generation (RAG) methods to augment LLMs with dedicated knowledge in transportation and electric grid domains. This involves designing methods to process input data and
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. templates, etc) to ensure the highest level of quality, consistency and accessibility of ELR's service portfolio. Develop data-driven Employee Relations strategies by using metrics and trend analysis