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Field
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, utilising cutting-edge technology to create low-cost and user-friendly sensors for deployment by citizen scientists. The project will involve co-designing the sensors with public stakeholders to ensure
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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of RFC1 disease. In parallel, we will a gene perturbation analysis using the Crispr-I technology in genetically engineered iPSC-derived sensory neurons to further investigate the effect of GWA loci and to
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for the general predictions of laser interactions with substrate materials The plan is to recruit a PhD candidate to undertake this project and be part of a new MoD/EPSRC Energy Transfer Technology Skills and
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). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter
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degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply please contact the main supervisor, Dr Sophie Nixon - sophie.nixon@manchester.ac.uk
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strategic advantages such as discovering new value-creation opportunities. This project will be conducted in collaboration with Circularise, a technology company founded in 2016 that develops blockchain-based
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant