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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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Requisition Id 16167 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a Postdoctoral Research Associate with expertise in
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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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‑guided optimizations across languages (Julia/JACC, Mojo/MLIR, Rust/LLVM). Incorporate Enzyme-based automatic differentiation and multi-language IR tooling for AI‑driven analysis. High‑Productivity
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, you will collaborate with a dynamic team of scientists and engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a
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to optimize utility of captured signals Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives Qualifications: A PhD
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Research Associates to apply their hydrological and water resources expertise toward cutting-edge waterpower and engineering research in the Water Resources Sciences and Engineering Group at Oak Ridge
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload
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Industrial Energy Efficiency Programs. Perform technoeconomic optimization and scenario analysis to evaluate manufacturing competitiveness, technology pathways, and trade-offs among cost, energy use, emissions
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a