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benchmarking frameworks to analyze and optimize the performance of AI-powered workflows and ensure scalability, traceability, and efficiency across diverse infrastructures. Major Duties and Responsibilities
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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Genesis Mission, which seeks to accelerate scientific discovery through the integration of AI-enabled solutions. NCCS operates the Frontier exascale supercomputer and world-class HPC infrastructure, giving
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seeking to fill a Postdoctoral Research Associate position to work in the areas of environmental life cycle assessment (LCA), technoeconomic optimization; and industrial energy efficiency and production
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges of heterogeneous privacy budgets and varying requirements
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techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows. Investigate strategies to balance performance and resilience across heterogeneous computational
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-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient
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liquids, frustrated magnetism, excitonic magnets, and strongly correlated electron systems. You will work closely with theorists, experimentalists, and computer scientists to build robust, scalable
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium