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strengths and interests (e.g. geospatial data science or socio-environmental modelling). Funding Sponsored by the Leverhulme Trust and Cranfield University, this Connected Waters Leverhulme Doctoral programme
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The South and East Network for Social Sciences (SENSS) Doctoral Training Partnership (DTP) is a consortium of 8 leading universities (of which Cranfield University is one) across the south and east
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resilience of our society. We are advertising 40 salaried PhD projects in areas that span the food chain from farm to fork: farmed animal health and welfare; food safety; lifelong health; human nutrition; one
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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reduces crack propagation in composites, reduce failure due to delamination and significantly improves fracture toughness [Williams et al, Journal of Materials Science 48, 3, 1005-1013, 2013]. In addition
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applications for a PhD studentship focused on developing and validating innovative origami-paper eDNA sensors with community scientists for the rapid detection of chemical and microbial contaminants in rivers
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significantly to the current body of knowledge. This experience will equip you with valuable research skills, including methodologies, data analysis, and critical thinking, highly sought after in both academic
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Start date: 28/09/2026 Fee status: UK Duration *: 4 years 1st Supervisor: Dr Simon Jude 2nd Supervisor: Dr Robert Grabowski This funded PhD studentship is an exciting opportunity to conduct new
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
We are pleased to announce a self-funded PhD opportunity for Quantitative assessment of damage in composite materials due to high velocity impacts using AI techniques. Composite materials, such as