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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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personalised, ethnically-stratified risk scores. This is a highly interdisciplinary project at the intersection of machine learning, health equity, and precision medicine. The successful candidate will join a
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How does experience shape the brain? We aim to understand why distinct experiences result in adaptation through learning, whilst others can lead to unsurmountable stress, psychiatric and behavioural
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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How does experience shape the brain? We aim to understand why distinct experiences result in adaptation through learning, whilst others can lead to unsurmountable stress, psychiatric and behavioural
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of Sentinel-2 fluvial scenes’. Earth Surf. Process. Landforms, 45, 3120–3140. Carbonneau et al 2020) ‘Adopting deep learning methods for airborne RGB fluvial scene classification’. Remote Sensing of Environment
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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novo neurogenesis followed by integration of new neurons into functional neural circuits. In humans, new neurons are made daily during learning, and these new neurons also integrate into functional