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the accurate prediction of reaction enthalpies and activation free energies for all relevant intermediates. In this project, a deep learning and generative design toolchain will be developed resulting in an ML
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PhD Supervisor: Suan Hui Pu Supervisory Team: Suan Hui Pu Project description: Dehydration in humans can lead to severe health consequences if left untreated. There is an unmet need for an accurate
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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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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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