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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information theory, physics of quantum materials – to develop new design principles for scalable
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