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Field
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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for significant improvements in the fields of finance investment management, and decision-making. The project will also aim to provide suitable benchmarking methods to evaluate our proposed AI/NLP/LLM models
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systems, providing early detection of adverse events such as infection and inflammation. The project will involve sensor design and modelling, prototype development, electrochemical characterisation, and
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on combining innovative technologies such as remote monitoring, large language models, machine learning, blockchain, and eco-accounting to enhance the efficiency, security, and sustainability of e-bike charging
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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analysis, threat modelling, and proof-of-concept demonstrations, the research will identify and map vulnerabilities that may impact both individual investors and global financial stability, as
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MRI/CT scans to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as VR/AR assistive
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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incidents have been reported across low-lying parts of this borough. Groundwater flood risk is strongly influenced by the area’s complex subsurface geology. The region’s superficial Quaternary sediments were
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured