366 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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language requirement (Faculty of Science equivalent: IELTS 6.5 overall and 6.0 in each component). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This four-year studentship is funded by
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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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information, please contact main supervisor; Prof Michael Greaney (michael.greaney@manchester.ac.uk ).
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with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Prof. David MacManus Email: d.g.macmanus@cranfield.ac.uk Phone: +44 1234 754735 If you are
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful
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reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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checks for eligibility and other criteria. For more information or informal enquiries, please contact Dr Piril Hepsomali (P.Hepsomali@reading.ac.uk ).
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the Birmingham MC40 cyclotron facility. This experimental campaign and the new data/insights will allow you to validate structural integrity models of ASSs linking meso- and macro-scales. During this PhD project