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Electric drives are essential to the UK's net-zero ambitions and will play a crucial role in powering the electric revolution. Future electric drives must be smarter, more power dense, and more efficient
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to assess feasibility and optimise performance under uncertain subsurface conditions. Two principal configurations are employed: closed-loop systems, commonly referred to as deep borehole heat exchangers
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subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical
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2022. The problem? Manually giving well-considered consent to every data use in real time is impossible. The solution? Autonomous agent systems that protect your privacy efficiently, transparently, and
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on software for safety-critical functions like life support, monitoring, and decision-making. They must comply with strict regulations (e.g., IEC 62304, ISO14971) that require trial-based safety assessments
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or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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how to design, deploy, and manage IoT systems that are genuinely self-managed and resilient. The goal is to enable autonomous, reliable operation across diverse domains, including smart buildings and
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and testing of ca. 100 compounds in a single operation, potentially taking less than a week to design, synthesise and test. These approaches will be applied to optimisation of drug candidates
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screened without further cumbersome purification. These methods will allow the parallel synthesis and testing of ca. 100 compounds in a single operation, potentially taking less than a week to design
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and thermal models developed with an industry partner, the research will simulate coupled heat and fluid transport in sedimentary reservoirs and assess system performance under varying operational