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honours degree in a computing, cybersecurity, ethical hacking (or equivalent), or a closely aligned discipline. We are looking for an independent, enthusiastic, and driven candidate with an understanding
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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
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will aim to understand the political and ideological dimensions that compassionate spaces occupy and the ongoing entanglements of multiple, and sometimes competing, identities, values, and practices
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workshops, and state-of-the-art facilities in the heart of London. We welcome applications from candidates across all areas of research aligned with the University strategic themes. What makes
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an adhesive heavy application, and to find methods for End-of-Life disassembly. Battery pack construction uses adhesives to fix multiple cells in place, creating a block of battery modules. The adhesive has
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and modelling of African malaria vectors and malaria transmission F2 Experience working with multiple partners either in academia or in malaria endemic countries F3 An emerging national or international
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consider the multiple health and other impacts when deciding on appropriate action. This PhD studentship will conduct an assessment of the impacts of policies aimed at improving home energy efficiency
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, you cannot apply for multiple studentships on one application. You are welcome to apply to other studentships at the same time, as long as you cite the relevant code on each application (e.g. ReNU25_7
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
a standards-aligned semantic framework to ensure interoperability, reusability, and scalability across systems and sectors •Model system degradation over time by developing temporal knowledge graphs