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production capabilities. Our current priorities center on scaling and optimizing production processes for Ra-226, Ac-227, and Th-228 to meet growing national and global demand. The selected candidate will
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optimize process performance by integrating analytical feedback into the continuous improvement of synthesis, purification, dispensing and gas conversion methods. Prepare reports, presentations, and operator
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optimal placement of Continuous Air Monitoring equipment. Support planning and design of nuclear and radiological facility modifications as required and perform calculations in support of engineering
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reproducible computational workflows for genome annotation and omics data processing of Populus and Populus-associated microbes, optimized for high-performance computing environments Analyze biological
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computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking
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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
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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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Resource Planning (ERP) systems, including design, integration, and optimization to improve processes and business performance. Special Requirements: Visa sponsorship is not available for this position
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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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