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, such as centrifugal forces, bending, and thermal stress. You will work closely with the PEMC and Composites Research Groups, industrial partners and test centres. Physical testing, such as controlled
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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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works there, it can work in corporate negotiations, policy simulations, cooperative robotics, and beyond. Why Werewolf? It’s a perfect storm for testing AI intelligence: incomplete information, shifting
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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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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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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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with mechanical testing of the alloys in hydrogen rich environments will be used. The ReNU+ CDT has hosted a number of online pre-application workshops to provide guidance on the application process
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health. There is likely a gendered dimension to this topic, given that predominantly women are victims of domestic violence. This PhD project will examine the relationship between climate-induced
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correlate behavioural variability with neural responses to naturalistic audio-visual stimuli Examine cross-modal interactions between visual and auditory cortices using techniques such as cross-modal decoding