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vision, audio analysis and explainable AI methods. Rather than assuming that behavioural signals reveal personality, deception or suitability, the research will test whether any signals provide reliable
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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your nominated supervisory team during the application process and that they are aware that you wish to be considered for funding. Complete your application prior to the advertised funding deadline (see
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about uncertainty processing across these different scales. At later stages of the project, the role holder will have the opportunity to work with co-Is responsible for climate modelling and longitudinal
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to simultaneously learn control policies and safety certificates—mathematical proofs that control decisions are safe. Data from system operation provides evidence that both the control and the proofs
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facilities or specialist manufacturing partners. Experience contributing to multidisciplinary research projects. Experience of cleanroom processing or microfabrication would be beneficial for understanding
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-ion battery. However, the performance of the battery is limited by several technological challenges. This project will focus on the interfacial processes occurring within lithium-sulfur cells with a
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The Application Process & How to Apply: To apply, please answer the enclosed questions and email your answers along with your CV to [email protected] no later than Monday 17th August 2026. Please use
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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disease outbreaks resistance genes have been introgressed into crops, which is a slow process, and the resistance conferred is frequently overcome through emergence of new pathogen races. An increasingly