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National Lab's (LBNL ) Molecular Foundry is seeking an enthusiastic and skilled Instrumentation and Automation Scientific Engineering Associate to join our team. As a Department of Energy-funded nanoscience
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wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
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computing and data analysis for the Department of Energy's (DOE) Office of Science programs. NERSC is searching for a knowledgeable and inspired group leader for the Storage Systems Group who will be
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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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development. Engage in seminars, workshops, and group meetings to broaden scientific perspective and support growth. What is Required: PhD in a technical field such as chemistry, physics, materials science
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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for near-real-time data analysis. Your work will help 12,000+ users run faster, more reliable science. What You Will Do: Contribute to one or more NESAP scientific workflows targeting NERSC HPC resources
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team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science
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National Lab's (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Scholar to join the team. The Electrochemical Engineering Postdoctoral Scholar Employee will conduct
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advanced computing and data systems to support fundamental science Support the AI software stack on NERSC supercomputers, deploy new cutting-edge tools and frameworks for scalable AI workflows. Provide