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PANDA DFA training programme as part of the 2026 Cohort ( https://www.bangor.ac.uk/panda ). This project is linked to UK National Nuclear Laboratory (UKNNL), who will provide industrial steer and co
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and Human-AI Collaboration for Advanced Manufacturing Ecosystems . Role Summary We are seeking a highly motivated researcher with strong technical background in robotics, machine learning and
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, combining table-top experiments and theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the
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project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and time-stepping schemes applied to
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optimisation of alternative cooling mechanisms and their corresponding refrigeration cycles. The project will integrate thermodynamic modelling, machine learning, and multi-objective optimisation to identify