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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 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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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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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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: 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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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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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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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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mycoprotein ABUNDA. This placement will provide hands-on experience of large-scale mycoprotein production linking fundamental biological research with industrial innovation and pre-market food technology. Using