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efficiency, predictive maintenance, and effective production planning and scheduling. These advancements are critical to achieving higher productivity, minimising unplanned downtime, and ensuring optimal
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. ML-Based Predictive Models: Deep learning and surrogate modeling techniques will be employed to predict structural response under varying loads and detect early signs of fatigue or failure. 3. Real
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aircraft icing conditions. This data can then be utilised for improving design of ice detection and mitigation systems and for refining icing prediction codes. Unique opportunities for conference attendance
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to predict clinical outcomes. Urinary tract infections lead to 150,000 hospitalisations in the UK each year costing the NHS an estimated £380 million annually. The innovative aspects of this research lie in
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future propulsion systems. There is also opportunity for successful candidate to collaborate with experimental teams for materials synthesis, characterisation and validation of computational predictions
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systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing modelling capabilities for the prediction of energy
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future propulsion systems. There is also opportunity for successful candidate to collaborate with experimental teams for materials synthesis, characterisation and validation of computational predictions
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. The development of a physically-based model of energetic material will overcome the current limitations and provide predictive capabilities that are crucial for the understanding of the behaviour of novel
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, the potential for developing predictive models for foam destabilization will be explored. The project offers comprehensive training in laboratory skills and relevant techniques, along with opportunities to attend
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate