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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided Overview Edge artificial intelligence
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, healing slows or fails. This PhD will explore how mechanical and topographical cues such as stiffness, nano-roughness, and viscoelasticity govern immune–bone interactions through mechanotransduction
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chlorination to convert metallic impurities into volatile chlorides. The process efficiency, however, depends on a complex interplay of particle-scale interactions and particle/solid body interactions. Current
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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devices, the research will integrate established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies
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collaboration with Eli Lilly Pharmaceuticals (Boulder Colarado, USA) and will involve frequent interaction with their scientists who will co-supervise the project. It is ideally suited for a chemistry graduate
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UKRI rate). Additional project costs will also be provided. Overview Multimodal artificial intelligence (AI), which integrates diverse information sources including tabular, imagery, linguistic and