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to apply: https://uom.link/pgr-apply-2425 How many positions: 1 Residency: UK students This 3.5 year PhD project is fully funded for home students; the successful applicant will receive an annual tax free
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of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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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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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 at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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related PhD projects on behavioural change and weight loss. The successful doctoral candidate will lead a randomised controlled trial, including participant recruitment and coordination of laboratory
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Self-funded PhD Opportunities in Plant Growth, Reproduction and Stress Responses School of Biosciences PhD Research Project Self Funded Dr Lisa Smith, Dr Sam Amsbury, Prof Andrew Fleming
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must be in a position to register by October 2025 Description:This Industrial PhD studentship has been developed between Salford University and APOS. Gait rehabilitation is emerging as a promising