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, and technical staff) and more than 270 non-permanent members (PhD students, postdocs, and visiting researchers). ICube stands out for its unique position at the interface between the physical and
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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