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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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. The predicted chloride concentration distributions generated by the thermodynamic simulations will be directly compared with the measured profiles to assess model performance. The research aims to improve current
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to model flow boiling surface performance and integrate it with topology optimisation for intelligent design of phase-change surfaces. The researcher will work closely with other members of a
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will focus on one of four intertwined pillars (the “4Ms”), all designed as an integrated system: Monitoring (current dynamics and climate and nature related risks); Modelling (pathways to future climate
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implementation of a scalable Digital Twin architecture, data acquisition from industrial sensors, development of predictive models, and validation through simulation and experimental case studies. The proposed