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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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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
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course of study and have opportunities to participate in faculty development programmes. The scholarship is tenable for a period of five years. Service Commitment 5 years in SIT after completion of PhD studies. Mid
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-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants and EU applicants with indefinite leave to remain. The successful candidate will receive an annual tax-free stipend set at
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Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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This 3.5 year PhD project is fully funded for UK students. Your tuition fees will be paid, and you will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26). We expect
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PhD studentship: Trustworthy AI Systems for Pervasive Healthcare Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project