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of the relevant supervisor. Funding Fully and directly funded for this project only for 3.5 years. This funding offer covers tuition fees at the UK resident rate and provides a stipend of £20,780 p.a
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the lead supervisor, Dr Ulrike Bauer , to discuss the details of the project ahead of applying. The funding provided for this studentship cannot be used to recruit students who are classed as International
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Open to: UK applicants only Funding providers: EPSRC CASE Conversion with GSK Subject areas: Applied Mathematics, Mathematical Modelling, Mathematical Biology Project start dates: 1 October 2025 1
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international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate
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included. To complement the quantitative analysis, stakeholder engagement will be conducted through interviews with policymakers, the police, relevant charities and healthcare providers. The project is
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assessing starch efficiency. The project will provide valuable insights into improving starch functionality, by linking raw material properties to paper performance. Additionally, the study will explore
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metagenomics, host transcriptomics, and clinical metadata. Training will be provided in ONT data processing, differential expression and abundance analysis, and bulk or single-cell RNA-seq. The project will use
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or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will
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to achieve complex and customisable micro-robots to provide personalised healthcare solutions. Advantages: This studentship will take place in world-leading research laboratories for additive manufacturing
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques