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create, annihilate, and reconfigure magnetic textures on demand. This capability will establish direct causal links between atomic-scale structure, symmetry breaking, and emergent magnetic topology
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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across disciplines, linking ecology with data-driven analysis; How to apply Interested applicants should contact Dr Weizhuo Wang (w.wang@mmu.ac.uk ) for an informal discussion. To apply you will need
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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project will transform rain garden design by linking plant traits to hydrological and ecological outcomes, ensuring resilience under alternating drought and flood stress. Working with the Royal
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approaches that overlook plant ecology and the interaction with soil structure development. This PhD project will transform rain garden design by linking plant traits to hydrological and ecological outcomes
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: Developing and applying life-course chronology methods to understand trauma, adversity, and social instability across the lifespan. Collecting and analysing data on cPTSD symptom dimensions, inhibitory control
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to quantify energy and nutrient intake patterns in people with asthma and overweight/obesity. These data will be linked with serum micronutrient markers (vitamin D, iron indices, calcium, B vitamins and trace
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Engineering Research Group and the Advanced Manufacturing Technology Research Group at the University of Nottingham, applying modelling, simulation, and data-driven methods to link high-level performance
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therapy in young people are also largely unexplored. This PhD project will examine how nutrition is linked to mental health in young people, explore how young people and their families view food as a tool