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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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of Nottingham, Liverpool and Manchester, and the Francis Crick Institute, as well as our international (USA and Denmark) partners. GlycoWeb applies a diverse set of approaches to address the fundamental gaps in
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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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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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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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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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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