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systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
. The ESIB Team develops work products to inform U.S. government strategies and positions to ensure the United States has the materials and production capabilities for a resilient energy supply chain
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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) Theoretical Modeling: Develop and refine models for entanglement harvesting using continuous-variable quantum information theory and Gaussian quantum states steering. (2) Experimental Simulation: Simulate
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Instructions to Applicants Applicants must complete an on-line application process at the following link: https://www.auemployment.com/postings/49851 and attach the following: 1) cover letter stating research
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the development and advancement of NSSE and associated projects by co-leading a number of initiatives focused on supporting higher education institutions use NSSE data most effectively. This will
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investigates the geochemistry of critical minerals (e.g., lithium, rubidium, rare-earth elements) through the life cycle of mining, processing and utilization. We seek to develop geochemical and isotope tracers
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part