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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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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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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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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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engineering or equivalent field and 0-2 years of research experience. Background in quantitative analysis, mathematical modeling, data science and simulation techniques with expertise in optimization techniques
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on optimization, CI/CD pipelines, and model performance monitoring (e.g., LLM/GPT frameworks). Collaborate with business and scientific teams to identify needs, gather actionable requirements, and translate them
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on parts, availability, and material records Monitor and correct material consumption reports, ensuring accurate backflush and scanning data within the ERP/WMS Optimize warehouse layouts and workflows
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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on optimization, CI/CD pipelines, and model performance monitoring (e.g., LLM/GPT frameworks). Collaborate with business and scientific teams to identify needs, gather actionable requirements, and translate them