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Field
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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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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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concepts to help the sector achieve net-zero emissions by 2050, as required by the Paris Agreement. This project, integrated in the EPSRC Fellowship VERA, brings together leading organisations – including
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https://www.sems.qmul.ac.uk/research/studentships/674/net-zero-natural-resource-energy-and-time-efficient-manufacturing/The PhD work will benefit from access to unique facilities including
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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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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
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seven Midlands universities, benefiting from a rich, interdisciplinary training environment and a wide network of researchers across the region. This includes: Coventry University De Montfort University
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training programme by the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored
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Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes