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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 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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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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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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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
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to optimize space utilization and meet the Lab’s strategic objectives. Major Duties/Responsibilities: Collaborates across directorates to develop and implement near- and mid-term strategic space plans
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standards and regulations. Are co-optimized with the development of new high-performance materials. Design and develop experimental setups, conduct experiments, and analyze results. Perform simulations
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, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal