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spatial metabolomics. Integrating functional cell-based assays and the ‘omics trio’ (transcriptomics, proteomics and metabolomics) using advanced computational biology will define holistic mechanisms by
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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foundational computer science and mathematical foundations of AI; and experts in the industrial utilisation of emerging AI technologies for various manufacturing and built environment inspection processes
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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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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aligned with your PhD research proposal, in the programme of Architecture Design (Social Science). Deadline: 11.59 pm on the 16th of February 2025. Late proposals for this funding will not be considered
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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly
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Project title: Neuromorphic Photonic Processor for Scalable Generative AI Applications Research Group: George Green Institute for Electromagnetics Research, Faculty of Engineering, University
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within George Green Institute for Electromagnetic research (GGIER), department of Electrical and Electronic Engineering, University of Nottingham. As an international centre of expertise in
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University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy