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the Biological, Environmental and Planetary Science Division. Advance the frontiers of structural biology by developing AI-driven methods for interpreting complex crystallographic data. This role will enable new
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, Environmental and Planetary Science Division. The aim of the position is to advance the frontiers of structural biology by developing AI-driven methods for improving crystal quality at scale. This role will
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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ
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