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from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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work is linking microscopic (discrete) mechanics to macroscopic (continuum) models of active slender systems. The project involves three main components: Theoretical continuum modelling. Extend classical
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, exerting a transient influence on the landscape and increasing the probability of subsequent and recurrent failures; processes which are currently not accounted for in most landslide susceptibility models
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productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis (TEA), and life-cycle assessment (LCA) to assess cost and GHG performance. Candidate’s Competencies and
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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parameters (build orientation, resin choice, post-processing) and aerodynamic performance in wind tunnel tests. Develop an integrated performance model linking process data, 3D metrology, and wind tunnel
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Modelling of Weather Impacts: Build machine learning models that analyse these integrated data streams to identify early precursors of weather-induced disruptions. The goal is to forecast turbulence zones
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be developing advanced spatial models such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem
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international conferences. This project is ideal for students interested in advanced composite materials, structural/solid mechanics, sustainable structures, and material modelling. It provides a balanced