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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
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Requisition Id 16789 Overview: We are seeking a Technical Professional who will focus on support to develop software to help create the digital factory of the future, assist industry in optimizing
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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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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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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, and reporting to improve infrastructure visibility and observability. Use infrastructure data for predictive capacity planning. Optimize cooling and power efficiency from analytics. Security, Compliance
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maintain Windows server environments. Monitor and optimize system performance, ensuring uptime and reliability. Perform regular system updates, patches, and backups. STIG checking and systems compliance
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your application or have them sent to [email protected] (For postdocs, use [email protected] ) with the position title and number referenced in the subject line. Instructions to upload
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring