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global collaboration between regulators, academia, and industry toward faster, more ethical, and more predictive chemical safety testing strategies. The position is available for two years and sponsored by
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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of macromolecular complexes, including protein assemblies, protein-ligand interactions, and conformational changes. Our research also aims to understand and predict protein-protein complementarity, design artificial
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of macromolecular complexes, including protein assemblies, protein-ligand interactions, and conformational changes. Our research also aims to understand and predict protein-protein complementarity, design artificial