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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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real-world challenges. We work with an extensive network of industrial partners including BT, Haleon and Tesco. Engage with our network of charitable partners Students have the opportunity to engage with
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or bacterial species. RNAseq profiling of the fungal transcriptome during interactions with other microbes will be used to identify gene networks important for a coordinated immune response. Confocal
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excellent’ (3*) while 90% of its research has been classified as having ‘outstanding’ (4*) or ‘very considerable’ (3*) impact. The Centre for Engineering Research and the Network and Security Research Centre
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networks which are intrinsically explainable; (5) design a new multi-dataset benchmark for assessing the trade-off between accuracy and explainability Project Description: Whereas traditional machine
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101226717 Is the Job related to staff position within a Research Infrastructure? No Offer
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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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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life