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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will
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-funded Swansea University Research Excellence Scholarship (SURES) for a full-time doctoral student commencing in October 2025. Investigating functional genomic and multi-omic data analysis and integration
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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performance and university-specific criteria. Integrating multimodal analysis (voice tone, facial expressions, sentiment analysis) for holistic assessment. Ensuring fairness and bias mitigation in AI-driven
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profound interest in inorganic chemistry, in both experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work to support
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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initial cycling, which affects safety, longevity, and overall performance. The “RePatina” project will reconstruct and engineer the SEI layer using a combination of operando diagnostics, surface chemistry