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  • CaMMLs – Chemical and materials machine learning school 2026

    13th April – 17th April 2026

    The CaMML School is a five-day programme designed to This training will encompass a number of talks and practical sessions, focusing on the basics of machine learning, machine learning interatomic potentials and graph neural networks.

  • Data Intensive Science School

    14 – 16 September 2026

    Join AIchemy Hub and LIV.INNO for an intensive hands-on 3 day Data Science School designed to equip researchers, students, and innovators with practical skills at the intersection of AI, scientific computing, and open-source research.

  • Winter School: Robotics and AI for Materials Chemistry 2026

    23 – 27 November 2026

    The Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry, robotic systems, and AI-driven scientific discovery.