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system operations, process gas operations, ability to work to procedures and in research mode, and the troubleshooting of new technologies. Major Duties/Responsibilities: Execute enrichment experiments in
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analysis of novel geothermal energy systems and components in various applications. The work will involve developing experimental setups, problem-solving, conducting experimental campaigns, performing
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of existing frameworks and the development of new physics-based dynamic models. The candidate will lead the planning, coordination, and execution of experimental validation campaigns, ensuring strong
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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breakthroughs. The CSM Division delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value
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. Preferred Qualifications: Experience at a neutron user facility, synchrotron light source or other large-scale experimental physics project or user facility is highly preferred. Experience utilizing AutoCAD
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experimental validation of high-performance polymer composite systems. This position resides in the Composites Innovation Group in the Manufacturing Science Division, Energy Science and Technology Directorate
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production process development for delivering stable isotopes for medical, industrial, and DOE mission critical applications. As part of our team, you will work closely with a focused group of scientists