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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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undergraduate degree relevant to each individual project, e.g., Experimental Psychology, Physics, Neuroscience, Computer Science, Electrical Engineering, or a related subject. In addition, an appropriate master’s
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disease. This PhD project aims to bring the dark kinome into the spotlight by combining advanced AI-driven prediction with cutting-edge chemical biology. The goal is not only to understand how these kinases
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and programmable biomaterial synthesis. The ability to program the behaviour of biomolecular chemistry is foundational for developing new biotechnology applications. Redox-sensitive molecules are a
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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assays, computational docking, NMR spectroscopy, site-directed mutagenesis, macrophage biology, and cell death assays. This project would suit a graduate in Pharmacology, Biomedicine, Biomedical Science
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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of mission design, manufacturing, operations, and disposal. This PhD project aims to advance sustainable space operations by developing a holistic lifecycle assessment framework and computational tool
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Fully Funded PhD Opportunity: AI for Early Detection of Mood Problems in University Students Applications are invited for a fully funded PhD (fees and stipend) to begin March 2026 at the University