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subjects of this PhD programme including process intensification and green chemistry. Number of awards: 1 Start date: 1st October 2026 Award duration: 4 years Sponsor: EPSRC Supervisors Professor Kamelia
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of Computer Science Postgraduate Research Administration Team at: ps-cs-pgr@exmail.nottingham.ac.uk You may also contact prospective supervisors directly.
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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the deadline. This PhD project addresses a fundamental challenge at the interface of biomaterials science, sustainability, and biofabrication: transforming underutilised animal-derived waste into high-value
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second class UK honours degree or equivalent in a related discipline. This project would suit students with an aerospace or mechanical engineering background. Experience of computational fluid dynamics
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. Reporting to Peter Visscher. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or another relevant field
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for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the
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urban green infrastructure, and shaping future design standards. Ideal for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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computational enzymology to uncover mechanistic principles that guide future enzyme design. The project offers comprehensive training in biocatalysis, enzyme design and engineering, organic synthesis, structural