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Field
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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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Job Purpose The successful candidate will contribute to a project focusing on remote RF Sensing and its applications in healthcare involving technologies for both sensing and communications, under
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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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, and scenario analysis techniques to provide support for strategic decision-making and inform policy. The candidate will identify the existing data gaps in quantifying flood risk and explore best
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permanent magnet electrical machines are pushing performance boundaries. A major challenge is the structural integrity of the carbon-fibre reinforced polymer (CFRP) sleeves used to contain the rotor’s magnets
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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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will be used to perform a comprehensive pathogen population analysis of TB in the UK, including routes of entry to the UK, onward transmission, geographic specific lineages and adaptations, including
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of the alternative material supplier base to meet market demand, and will lead the creation of a preliminary guidance document for the use of recycled plastics and alternative materials in lateral flow cassettes
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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
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Hydrogen has the potential to play a crucial role in decarbonising aviation in the long term, and to bring a revolution in air transport comparable to that of electric vehicles in the automotive