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and morphological analysis, contextual and site analysis, and an understanding of construction methods, materials, adaptations and long-term transformations Strong skills in architectural drawing and
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promising tools for addressing these challenges. Large language models can help bridge communication gaps between subject experts, while knowledge graphs can capture complex semantic relationships and provide
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. • Analysis of how root tissue organisation and cellular connectivity influence internal microenvironments. • Integration of experimental observations with quantitative or computational frameworks, developed in
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oxygen status under contrasting environmental conditions. Application of imaging- and sensor-based approaches to visualise and quantify oxygen dynamics in roots and their surrounding environment. Analysis
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developing a multimodal sensing and inference framework that can run on compact AI edge hardware while remaining reliable in complex, contested, or visually degraded environments. Aim You will design, build
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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and their surrounding environment. • Analysis of how root tissue organisation and cellular connectivity influence internal microenvironments. • Integration of experimental observations with quantitative
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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multivariate data analysis, the project aims to generate design rules that enable significant sodium reduction without compromising texture, flavour, or consumer acceptance. Training will span experimental food
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comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: Advanced diagnostics and prognostics of early