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automated research tools, implementing data sharing and analysis pipelines, and building data support infrastructure. Develop self-driving and robotic laboratory workflows, including building custom
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engage in AI/ML-based inverse modeling for the analysis of well test and fluid-flow experimental data, the development and deployment of AI/ML models into software tools and programs, and performance
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phases of the scientific lifecycle, supporting the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, machine learning, and related IT needs
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assignments and may coordinate activities of other personnel. Network with key contacts outside their own area of expertise. Work on and resolve complex issues where analysis of situations or data requires
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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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scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer-reviewed venues. Examples of NESAP project themes
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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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control--and contribute to data management, radiological characterization, sample collection and analysis, and air monitoring. The position also involves implementing radiological work controls, supporting
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conducting field measurements of variables developing proposed modifications; retrofit cost estimation; life-cycle cost analysis; and preparation of project reports. Additional Responsibilities as needed
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science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics. In depth experience with control theory and machine learning for analysis of neural population data. Experience with