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Structural materials in nuclear power plants are commonly operating at elevated temperatures in aggressive local environments and complex mechanical stress conditions. The upper temperature limit
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underlying causal relationships that govern visual phenomena. This PhD project aims to address this limitation by focusing on causal representation learning applicable to computer vision. The outcomes
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compliance with high standards, and to actively supervise the less experienced. An ability to interact and learn is crucial. Candidates should hold a PhD, or have successfully submitted, a PhD thesis, working
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historically challenging to create sources and detectors due to the limits of both electronic and photonic technology. However, in recent years, powerful sources of laser-generated terahertz (THz) radiation have
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). Applicants must have or be close to obtaining a PhD in Plant Biology, Biochemistry, Systems Biology, Genetics, or related field. Where a PhD has yet to be awarded the appointment will initially be made
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climate change risks in this area, consolidating text reviewing risks, and helping to produce the final chapter. We are seeking a person with a PhD in a related area, who has good organisational skills and
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start date: 6 October 2024 or 10 January 2025 How to apply: Please email the following documents to [email protected] with the title “Impact of Children’s Auditory Technology PhD
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on developing control solutions aimed at improving vehicle performance by leveraging innovative power electronics technology and predictive health models of the components. The control strategies will target
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An exciting PhD opportunity jointly funded by the UK Research and Innovation Council and Sellafield Ltd is available in the Advanced Materials Modelling Group at Loughborough University. This will
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PhD Supervisor: Dr Marcus Newton Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn Project description: The University of Southampton is expanding its PhD