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for reconfigurable intelligent surface and fibre network; · Advanced energy storage solutions and integration into the smart grid ecosystem. · Applied AI techniques for vehicle-to-vehicle (V2V), vehicle
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is to synthesise and study artificial quantum materials using ultracold RbCs molecules arranged in regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use
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"Nano-structured RC networks – a pathway to artificial skin" project. The primary objective is to develop a comprehensive simulation framework that bridges microscopic semiconductor morphology with
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solutions. A flexible and creative approach to problem-solving is essential, as projects may span a range of domains including environmental monitoring, autonomous navigation and intelligent perception
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months and funded by the EPSRC Hub on the Mathematical and Computational Foundations of AI, titled “Mathematical Foundations of Intelligence: An ‘Erlangen Programme’ for AI” (EPSRC grant EP/Y028872/1
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Specification Essential Criteria: Qualifications 1. A PhD in any subject relevant to the role as described in the proposed project. The PhD must have been submitted at the point of application but may still
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biological sciences or chemistry. A PhD in molecular bioscience or biochemistry OR be close to be being awarded. Experience Experience in conducting high quality academic research. Demonstrable ability
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requirements, including salary thresholds which are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in a social sciences subject. A PhD physical cultural
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first degree in Geography, Environmental Science, Earth Science or similar A PhD (or be close to submission) in Geography, Environmental Science, Earth Science, or a related subject. The PhD must be
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Essential Criteria: Qualifications A good first degree in Geography. A PhD (or be close to submission) in Geography, or related social science disciplines. The PhD must be submitted before the start date