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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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resources are transmitted from parents to their children? In this project, you will examine the role of social networks in reproducing (dis-)advantage across generations. This PhD project focuses
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Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates) Overview 6G networks are expected to enable ultra-low latency communication and
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
fully funded PhD position in the area of Adaptive Protocols for Decentralized Wireless Networks. The research associate will contribute to the newly established Secure Mobile Systems Group. The main focus
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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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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such as targeted terrorist activities. Aim To develop a modelling approach for assessing water network resilience. PhD project description This exciting project will focus on developing a mathematical model
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for receipt of applications: April 14, 2026 23:59 AoE (15 April 2026, 13:59h Europe/Madrid Time) The Networks Data Science group at IMDEA Networks Institute has an opening for one PhD student in the area of
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) Zhongtian Sun (School of Computing, University of Kent) Aligned programme of study: PhD in Network Science Northeastern University London As part of a major investment, Northeastern University London (NU
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is supported by the ANR project Data2Laws, part of the PEPR