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alloys), and additive manufacturing to push performance boundaries. The research will seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high
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to perform data work with high accuracy and attention to detail We offer an occupational pension scheme, generous annual leave, hybrid working and excellent training and development opportunities. For further
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embrittlement. However, the immiscibility between Cu and W leads to poor bonding, whilst during high temperature manufacturing/operation embrittlement of steel-W joints occurs due to the formation of brittle
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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(transient loads up to ~1 GW/m²). Computational modelling tools will complement the experimental work to guide joining strategies and post-weld heat treatment protocols. The outcomes will support selection
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-box techniques in the industry is still high. One of the main reasons is that the performance of such techniques highly depends on a large amount of good-quality data. Unfortunately, the availability
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optimisation/high-value products Project start date: 01 October 2025 Supervisors: Dr Steve Slocombe and Dr Miguel Lurgi Aligned programme of study: PhD in Bioscience
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Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
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in the USA. The main project for the student will be the computation of the properties of hadrons using lattice QCD and high performance computers. The PhD student will further investigate the use
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fuel, but its high reactivity makes it vulnerable to pre-ignition. The presence of lubricating oil droplets can worsen this risk by evaporating, altering chemical pathways, and producing nanoscale soot