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; (2) to better understand the complex role of the surface (i.e. fibre-infill interactions) in the generation of traction forces; and (3) to advance the measurement of the boot-surface interaction forces
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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of complex metagenomic data. You will also become proficient in lifecycle carbon accounting and data-driven decision-making, all mapped to the Researcher Development Framework at Cranfield University. Regular
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electronic health records, explore health usage related to HIV, TB, HBV and HCV for migrants to the UK. • adapt existing health economic models to estimate the cost-effectiveness of alternative infection
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, economic modelling, experiments, and presentation preparation, gaining broad exposure to the field of finance. The post will initially be offered for 12 months starting from September 2025 until August 2026
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and use the results to iteratively refine devices and models. You should have the ambition to publish you work in top ranked international journals and at leading conferences and have a dedication to
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either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling. The PhD student will be a part of the Surrey/AWE Centre of Excellence in
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modelling tools, depending on your profile, to unlock – and inform the design of – disruptive solar technologies. You will be expected to undertake some project management activities, supervise multi
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spectroscopy and HPLC), organic synthesis, electrochemistry, hydrogel soft matter and modelling. You will be mentored by Dr. Maguire and will learn how to design and manage projects, how to conduct research, how
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that support more integrated preventative approaches to complex needs. This interdisciplinary project is ideal for students interested in applied data science, public policy, and improving outcomes