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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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leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory
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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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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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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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, 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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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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a yearly stipend of £20,780 and is for a period of three years to commence on 1st October 2025. How to apply Applicants should have: A 2.1 or higher honours degree in a social science, and A master's