26 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory in United States
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for binding critical minerals and materials. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Biological Nanostructures, Data Science and Infrastructure, Imaging
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(LBNL ) Joint Genome Institute (JGI ) has an opening for a Staff Business Systems Analyst to play a critical role in transforming raw scientific outputs into high-value, AI-ready data assets that directly
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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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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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for data analysis and predictive modeling. The fellow will join a small, world-class, multi-institutional team advancing microelectronics research through AI-enhanced methodologies. You will: Perform soft X
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control for DNA sequence data to meet the Department of Energy (DOE ) metrics. This will include the development, maintenance, and improvement of quality analysis pipelines, genomic assembly workflows, 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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play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! You will: Combine the in-process data, room