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-class S&T products for sensitive national security missions. The selected candidate will support research efforts in signal processing and analysis, with an emphasis on the development of novel algorithms
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enrichment devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first-principles physics and empirically informed methods to advance
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to contribute to development of alloys with desirable advances in mechanical properties, thermal/electrical properties, and processability. A background in solidification processing, high pressure die casting
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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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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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temperature environments. You will collaborate closely with an interdisciplinary team with expertise in quantum sensing, quantum optics, materials synthesis and processing, and condensed matter theory. This position resides
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and dynamic processes Publish research results in peer‑reviewed journals and present at scientific conferences Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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technology focused on gas testing of prototype enrichment devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first-principles physics and
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). Major Duties/Responsibilities: Designing, developing, and conducting experiments related to data center thermal management technologies, phase change heat transfer processes, dehumidification systems
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Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A