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at NERSC to enable large-scale simulation, data analysis and AI applications to run on NERSC supercomputing and storage systems. Provide budgetary input and oversight for NERSC's storage systems. Lead or
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, VM infrastructure, networking, performance tuning, or data center planning. Co-leading group projects of small to medium size and complexity, to implement and deploy new computing technologies and
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solutions for high-performance computing (HPC) system management and large-scale monitoring, directly enabling the operation of NERSC's flagship systems, including the current Perlmutter supercomputer and the
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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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problems. Demonstrated understanding of security principles and best practices, particularly as they apply to research data. Familiarity with generative AI, foundation models, and domain-specific large
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Sciences: Luis W. Alvarez Postdoctoral Fellowship, and Admiral Grace M. Hopper Postdoctoral Fellowship Researchers in computer science, mathematics, data science, or any computational science discipline who
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container cloud platform based on Kubernetes. Collaborate within NERSC and across the DOE community to develop APIs and services, integrate them into the new NERSC supercomputer Doudna , the NERSC data