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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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two shafts while also allowing for assembly/disassembly. Building on a long history of work within the Transmissions UTC into the performance of spline couplings, this project will seek to further
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i.e. LCD TVs. Augmented and Virtual Reality technologies are the next logical step in display device technology. However, incumbent materials lack the requisite performance for Augmented and Virtual
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cumulus clouds, these entrainment processes are intermittent. Secondly, the interaction between the cloud turbulence and cloud droplets is intermittent due to the high Reynolds number of the cloud
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and operations. Despite carefully designed and monitored timetables, disruptions occur unexpectedly, often triggered by infrastructure failures, human error, or external factors. Given the high level of
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD
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) exploiting unlabelled operational data and self-supervised representation learning strategies to reduce reliance on costly measurements and manual labelling. Multi-fidelity modelling will fuse low- and high
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storms, putting drainage systems under pressure. Rain gardens (vegetated basins that manage stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design
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Energy storage and harvesting and Dr Lorenzo Conti , granular locomotion pioneer, will provide support across heat transfer modelling, computational simulation, microbial risk assessment and low-carbon
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows