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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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discipline. Knowledge of data analysis, scientific programming, or AI/ML methods using languages such as Python, MATLAB, or C/C++. Experience or strong interest in high-precision advanced manufacturing
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