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) for tomographic reconstruction and analysis. Familiarity with physics-informed, plug-and-play (PnP), or generative models for imaging. Prior experience with multi-modal tomography (X-ray, neutron, electron
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related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and
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iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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Requisition Id 14808 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for advanced
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alloys and materials. These systems are instrumented and connected to a digital platform to facilitate the creation of digital twins of the physical components fabricated in the facility. These digital
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resides in the Functional Atomic Force Microscopy (FAFM) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge
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in sustainable manufacturing technologies with an emphasis on life cycle research. Experience in manufacturing process or energy systems modeling. Proficiency in the use of industry standard modeling
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forecasting, and dynamic safety modeling using Generative AI techniques. The role will involve working with LLMs and AI agents to process, generate, and reason over large volumes of historical and real-time
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Mechanical Engineering, Nuclear Engineering, Physics, or a closely related