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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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physical characterization techniques (differential scanning calorimetry, dynamic light scattering, small angle neutron and/or x-ray scattering) to characterize the DIBs; and (3) Develop/implement image
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, pyrometry, spectroscopy, co-axial and off-axis high speed imaging, and more) for process monitoring and diagnostics. Develop and implement data acquisition, signal processing, and data analytics frameworks
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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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physics, fusion research, life sciences, and materials science. Furthermore, these efforts to enhance data readiness for AI workflows may play a significant role in contributing to the goals of the 2025
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Engineering, Nuclear Engineering, Mechanical Engineering, Physics, or a closely related field completed within the last 5 years Demonstrated experience with advanced materials characterization equipment and/or