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web applications Demonstrated technical and or nontechnical leadership experience Demonstrated experience in any of the following areas: architecting software solutions developing multi-tenant services
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proteins will be screened for targeted metal binding using fluorescence, label-free, and mass spectroscopy techniques. You will: Work collaboratively in a fast-paced lab environment on a multi-disciplinary
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. Integrate fine-tuned LLMs into the existing agent-based simulation framework in HEVI-LOAD to enable agentic scenario planning and parameter tuning. Design and develop novel multi-agent reinforcement learning
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the Energy Sciences Network or run on next-generation high performance computing and data systems hosted by the National Energy Research Scientific Computing Center at Berkeley Lab. Since its founding in 2002
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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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Position Description Postdoctoral Scholar - 106045 Division: AM-Applied Mathematics and Computational Research Berkeley Lab’s Center for Advanced Mathematics for Energy Research Applications (CAMERA) has a
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National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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Funded Research and Development Center (FFRDC). The Laboratory conducts groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab's expertise
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facilities that serve 15,000 users annually. Co-located with the Molecular Foundry, NERSC supercomputing center, and Berkeley Lab's materials sciences, chemical sciences, biosciences, earth and environmental