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of chemical data. Key Responsibilities: Utilise high data-density reaction/bioanalysis techniques, including high-throughput experimentation, to inform and enhance drug optimisation. Employ machine learning
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understanding of Caribbean history. We encourage the widest range of potential students to study for the studentship and are committed to welcoming students from different backgrounds to apply. We particularly
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resource utilisation (post-discharge consultations and readmissions) and antimicrobial stewardship (reduced antibiotic use). Supervisors: Core supervisors to the PhD will be Professor Tricia McKeever1
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related methodologies, as well as the ability to collaborate with others (internally and externally), is essential for the role. We encourage applicants with a range of skill sets to apply. This role could
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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Century through foundational and applied AI research on a cohort basis. The training and supervision will be delivered by a team of outstanding scholars from different disciplines cutting across Arts
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, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new therapeutic opportunities. What You’ll Do You will receive training and hands-on experience in
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of £3,000. Starting date will be preferably on 1st October 2025. Home students are strongly encouraged to apply. Please send your CV (including publications if apply) and transcripts to Dr Ke Li (ke.li2
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Eng at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Cold Spray based activities. BAE systems provide some of the world's most advanced, technology-led
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Sperm elasticity as an index of sub-fertility and as an environmental target. A PhD opportunity is being offered between The Optics and Photonics Research Group at the Faculty of Engineering and the