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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
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and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies
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Water bounces off lotus leaves but spreads and fully wets the trap rim of carnivorous pitcher plants, turning it into a deadly water slide for insects. This fully funded 4-year PhD project
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medicinal chemistry and the desire to learn molecular biology assay techniques. Industrial experience would be advantageous. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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University of Exeter Psychology Department is inviting applications for a PhD co-funded by the Eden Dora Trust (EDT) & co-supervised by EDT & a NHS Paediatric Neuropsychology service to start
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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Location: UK Other Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives
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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our