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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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subsurface and internal temperature distributions. Semi-destructive approaches, such as embedding thermocouples by drilling holes, can provide internal data but often disrupt the process, alter the thermal
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vessel, the fully turbulent flow channel, the towing tank and the combined wind, wave and current tank. For more information about the School of Engineering and our research, please click here . See our
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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‘Research Area' field blank select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a
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Your privacy When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and
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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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information about English language requirements and profile levels . Funding: School funding – commitment to support VIVO hub Contacts: For questions about the research topic, please contact Jonathan Rossiter
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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also depend on evidence of readiness to pursue a research degree. If English is not your first language, you need to meet this profile level: Profile E Further information about English