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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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Project Overview This PhD project focuses on the development of robust, low-cost, and compact laser delivery systems tailored for next-generation quantum sensors. These systems are essential
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence
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specific research proposal prepared, then they should write two or three sentences on an academic area of interest in which they wish to study for a PhD. If a more detailed proposal is required
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specific research proposal prepared, then they should write two or three sentences on an academic area of interest in which they wish to study for a PhD. If a more detailed proposal is required
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creates meaningful public impact. The PhD may explore (but is not limited to) one or more of the following areas: The role of the arts in health education The intersection of arts and contemporary
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spoken communication skills The following skills are desirable but not essential: Background in control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled