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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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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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collaboration with Oddbjørn Bruland from the Faculty of Engineering and Pascal E. Egli from the Department of Geography and Social Anthropology. It is financed by NTNU Community . The project investigates
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LSBU is offering over 80 Chancellor’s PhD Scholarships which offer full-time fee waiver for four years. The Scholarships are offered across three colleges: the College of Health and Life Sciences
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Cyber-Physical Power Systems Research area and project description: This is an exciting PhD project to be carried out in close collaboration with a UK electrical network operator and an industrial co
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, curious individual to join an exciting PhD. This opportunity is generously funded by John Crane Ltd, a world-renowned engineering technology leader. Why This PhD? Impact Clean Energy's Future: Develop next
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about how artificial intelligence is changing state actor powers? Do you want to conduct critical and in-depth legal research at the intersection of technology, law and power? And would you like
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable