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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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Applications accepted up till Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Dr Yi Feng (The University of Edinburgh), Dr Mattias Malaguti (The University of Edinburgh
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations
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Amount: Annual stipend for 3.5 years at UKRI stipend rates (set at £20,789 in the AY 2025-26), plus tuition fees waived. Level: Postgraduate research (Edinburgh campus; full-time) Eligibility: UK
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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pioneering translational machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology and neurodevelopmental symptoms. The project is a 3 year position
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on biological tissues and medical image processing. The studentship includes many opportunities for the candidate to build their professional network by presenting their work at conferences and discussing
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
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Scoliosis (AIS). Although surgery straightens the spine, AIS is associated with poor self-image and psychological distress. This project will investigate this, developing assessment and management tools