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modelling of molecular crystals. The key responsibilities are to develop, test and implement different modelling methodologies into novel workflows to predict MoSS formation. The successful candidate will be
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) integrating blockchain systems into AI-driven monitoring, predictive analytics, and digital twins (virtual models of CO2 conversion processes that mirror real-world performance) to support real-time
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Innovation (UKRI). The research builds upon our expertise in understanding and predicting novel magnetostructural coupling schemes in quantum materials. We employ theoretical analyses of crystal and magnetic
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