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Schmitz, Electrical Engineering; Prof. Richard Loendersloot, Engineering Technology) will give daily guidance with support from a senior engineer (Remco Sanders). Part of the work will be carried out
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adds value and where its risks lie, is lacking. In this PhD project you will map current and future GenAI use across the full HTA lifecycle, from horizon scanning to reassessment, and translate
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of high power electrical systems, and also conventional mechanical power offtakes. Reducing the size and weight of these systems, while boosting power extraction is important to continuing to improve
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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at the UK home student rate. A tax-free maintenance stipend for four years at the current UKRI rate. Applications from international students are warmly welcomed. Please note that the studentship covers
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General Data Protection Regulation (GDPR) enshrining a “right to be forgotten”, current federated learning practice offers no robust, scalable, or provable mechanism to guarantee this right once a model has
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science or engineering related discipline. To apply, please contact the main supervisor, Dr Christopher Brown . Please include details of your current level of study, academic background and any relevant
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deficiencies in the current understanding of indirect-noise generation, especially as it relates to hydrogen-fueled systems, Computational Fluid Dynamics (CFD) will be used. Initially, numerical analyses will
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Eligible study level Graduate research Eligible student type Domestic and international students Eligible study stage Future study, Current study Benefit duration One or more years Summary The Schiavon
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detection and free space estimation. However, current neural networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large