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and AI Infrastructure priorities, this PhD project pioneers fundamental technologies of Solid-State Transformers to enable highly efficient, reliable, and bi-directional energy flow control. You will
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Eligibility: Funded PhD. UK Student Supervisors Dr Jay Warnett (WMG) Prof Kurt Debattista (WMG) Prof Genoveva Burca (Diamond Light Source) Dr Edo Pasca (STFC Computing) Location of Job: WMG, University
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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high-risk movements during poor network conditions. This predictive capability will help maintain safe and stable human–robot interaction. This PhD project, delivered in collaboration with clinical
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University of Warwick – Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD