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Field
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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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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 challenging properties of uncertainty, irregularity and
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uncrewed aerial vehicles (UAVs), within the context of national emergency logistics. The project will examine how these technologies can be integrated with existing infrastructure to support the timely and
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to gain security clearance and limited to UK Nationals only. Research Proposal In this research project you will design, build, and test a new set of ultra-thin, specially structured surfaces, exploring
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testing) to understand and tailor the physical and chemical interactions within these complex structures. Cranfield University is internationally renowned for its research into materials for extreme
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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profiles. Explore correlations between fibrotic phenotypes and patient ethnicity. Test six novel anti-fibrotic peptides (developed using generative AI to target TGF-β1 receptors) for their ability
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to manage casualties with cervical spine injuries, by testing vacuum mattress and stretcher carrying methods using our unique multidisciplinary collaboration of biomechanists, physiologists and mountain
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, potentially including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during
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partners and test centres. Physical testing, such as controlled spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking