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discovery with a strong emphasis on domain-driven impact. Develop, optimize, and transition algorithm prototypes to robust implementations Work with ORNL researchers, as well as internal and external project
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Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL). This position will require a regular on-site presence. We optimize our workflows and monitoring solutions to take advantage of our 24/7
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-enhanced manufacturing, including digital twins, process automation, and data-driven materials supply chain optimization. The role includes working with industry partners and leveraging ORNL’s Manufacturing
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). The Emerging Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization
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well as the needs of private organizations and institutions. Our current focus is on production and processing optimization to production capabilities for medical and industrial radioisotopes, including Ra-226, Ac
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. Proficiency in bioinformatic pipeline development and optimization. Experience analyzing and interpreting multi-omics datasets. Strong background in statistical analysis and data integration. Experience with
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regulatory standards, developing and optimizing analytical methods for trace element and isotope ratio analysis, and maintaining ICP-MS instruments for peak performance. The successful candidate will interpret
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other advanced AM modalities. Integrate powder R&D efforts with MDF pilot-scale AM capabilities, including powder reuse studies, flowability optimization, and material qualification. Collaborate with
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that integrate analog/digital architectures with neuroscience-inspired algorithms Implement and optimize biologically plausible learning rules on FPGA and high-performance computing (HPC) platforms Basic
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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion