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that are relevant to this PhD and/or consumer culture, space & place, health etc. (such as a dissertation or essay from your Master’s degree) 2 academic references + A completed NWSSDTP Equal Opportunities Monitoring
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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 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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and physical testing with the objective of providing a cell which is self-locating adds structural stiffness to the module and allows easy disassembly for repair or recycling. This project will
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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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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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, spectroscopy, and battery testing equipment. You will also spend time working directly with Innospec, gaining valuable industrial experience and insight into catalyst development and applications. We are seeking
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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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structures, and to examine and model the ‘ageing’ effects that take place during long-term storage for space modules that may then be subjected to the space and de-orbit environment. Key tasks will be
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goals. Organise and facilitate interactive workshops and stakeholder meetings as part of the research process, generating qualitative and quantitative data to test and refine platform content and