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Requisition Id 15553 Overview: We are seeking a Postdoctoral researcher in data quality assessment and control and sensor network optimization who will focus on R&D of sensor network design. This
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are recognized experts who lead the design, implementation, and optimization of complex HPC infrastructure. They manage large-scale technical projects, guide technical direction for their teams, and serve as
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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biomaterial and bioproduct development. This position focuses on modeling traits-to-ecosystems with a focus on physiological, structural, and environmental tradeoffs involved in optimizing crops for fiber and
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documentation of HPC architectures, configurations, and operational procedures. Cluster Management and Optimization: Oversee the installation, configuration, and management of HPC clusters, ensuring optimal
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to maintain optimal inventory levels to support service goals and avoid shortages with an ability to forecast materials and parts for production needs. Facilitate custom part acquisition by sending custom part
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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team. This role is both operational (managing and optimizing assets and services today) and visionary in charting the future of geospatial compute, orchestrating large-scale investments and partnerships
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Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system performance, reliability, and scalability for large-scale computational