23 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions at Lawrence Berkeley National Laboratory
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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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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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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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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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this exciting role, you will contribute directly to an open-source platform that is transforming how biologists and data scientists collaborate, share data, and accelerate discovery. KBase integrates massive
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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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-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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scientific data acquisition. A significant focus of this work will be on our growing suite of autonomous and robotically controlled instrumentation for materials growth, characterization, and fabrication with
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electronics and HPC is to make more efficient use of transistors through architecture specialization, application-specific acceleration, and compilers/programming-models that better control data movement than
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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