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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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data to better understand the structure and function of the brain—across health, disease, and species. You'll work with world-class researchers in fields including network science, biophysical modelling
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design coordination, addressing inefficiencies that arise when diverse expertise (e.g. structural and mechanical engineering) intersects during the design process. This role involves developing
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