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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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Argonne National Laboratory seeks a Postdoctoral Appointee to perform computational research on materials for thermal and electrochemical interfaces. The successful candidate will integrate first
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(e.g., XES, XANES/EXAFS, resonant/non-resonant scattering). Diagnose and mitigate performance limiters (e.g., vibration, magnetic fields, microphonics, thermal loading, stray light), and contribute
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