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significant challenges for the treatment and supply of safe and high-quality drinking water. The project aims to develop a multiscale predictive analytics framework that integrates long-term algal speciation
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at: https://www.campdenbri.co.uk/research/consortium/food-consortium.php The studentship is open to both UK home and overseas students. Applicants are expected to hold first or upper-second class honours
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). All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ How To Apply You must apply through
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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physical properties can be developed. Applicants must have or be close to obtaining a PhD or MPhil in Computational Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or
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the use of manned boats impractical. To address these problems, an autonomous inspection system needs to be developed. The system should be launched from the shoreline and be capable of autonomously
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PhD qualification, including: Review of previous literature and the relevant theoretical background Analysis of existing/secondary survey dataset(s) Development of new survey and collection of original
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guest exchange (J. Am. Chem. Soc. 2025, 147, 17201 https://doi.org/10.1021/jacs.5c02868 ). It is the aim of this project to use this novel methodology to investigate a range of single crystal-to-single
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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We are seeking a highly motivated PhD researcher to develop innovative technologies that improve sustainability in the food industry. The UK food and drink sector is the country’s largest