31 data-"https:"-"https:"-"https:"-"https:"-"Goethe-Universityrankfurt" positions at Lawrence Berkeley National Laboratory
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National Lab's (LBNL ) Energy Geosciences Division has an opening for a Data Scientist to join the team. In this role, you will be primarily responsible for the development, implementation, and testing of a
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role, you will serve as a Data Performance Engineer in NERSC's Application Performance Group, architecting HPC and AI data services that advance fundamental science. You'll optimize storage systems
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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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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
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while ensuring reliable operations, safety, and data quality. During the ALS upgrade , you will serve as the scientific lead for 12.2.2 adjustments and upgrades, using the pause in routine operations
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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