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modeling and optimizing complex engineering system is required. Demonstrated understanding of thermal-fluid system architecture, including component-level behavior (e.g., heat exchangers, compressors
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demonstrating advanced manufacturing technologies related to machining processes, machine tool performance, process monitoring, machine tool metrology, and/or manufacturing system integration. The successful
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-related natural gas supply disruptions, develop modeling and analytical approaches to evaluate system vulnerabilities, and assess technologies and operational strategies that can improve infrastructure
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other geometric deep learning approaches for graph-structured scientific or engineering data. Background in electrical engineering, power systems, grid modeling, or power system optimization
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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processors (CPUs/GPUs), custom accelerators, and next-generation quantum and analog devices . Your work will contribute to a vision of autonomous system engineering in which AI agents understand
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spanning qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present
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processors (CPUs/GPUs), custom accelerators, and next-generation quantum and analog devices. Your work will contribute to a vision of autonomous system engineering in which AI agents understand
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system technologies. This position resides in the Multifunctional Equipment Integration Group in the Thermal System Science Research Section, Buildings and Transportation Science Division, Energy
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tools for tritium transport simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order