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tools enabling preemptive risk mitigation. Furthermore, it will embed regulatory rules, such as the EU AI Act, into digital twins to audit AI alignment with fairness and transparency standards
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behaviour, with results upscaled and incorporated into the reservoir-scale framework. This project will be in collaboration with industry. The project aligns directly with the ReNU+ CDT by addressing
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physics-informed surrogate models applicable to a wide range of deep geothermal energy systems. This project will be in collaboration with industry. The project aligns directly with the ReNU+ CDT by
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into smaller, faster, more energy efficient and cost-effective hardware compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems
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that limitation by exploring the microbial conversion of lignocellulosic C5/C6 sugars derived from agricultural residues into higher alcohols —an innovative, sustainable alternative aligned with the UK’s Jet Zero
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compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems Research Group at Newcastle University with next-generation Field
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considerations in topological dynamics, algebra, or group theory. The research problem will be co-created with the student to align with their background and interests. Example topics include: Groupoid models
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approach which considers multiple interacting aspects of the water system. This research will explore how SROs can be optimised to deliver dual benefits: reducing flood risk and enhancing water security
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potential research supervisors within Newcastle University Centre for Cancer to find a project aligned with their interests as part of the application process (https://www.ncl.ac.uk/cancer/ ). Candidates with
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. You must submit one application per studentship; you cannot apply for multiple studentships on one application. Contact details For more information please contact Mengwei Xu You can also contact