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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud-native 5G/6G networks. The project will explore the mechanisms
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Project summary: In this project we partner up with Scottish and Southern Electricity Networks (SSEN) Transmission to examine the social and economic value of major investment in electricity
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: 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 network programmability
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We are looking for a talented and motivated candidate to join our new Marie Skłodowska-Curie Actions (MSCA) Doctoral Network: VISIONBRAIN - Cutting-edge Human In Vitro And In Silico Biomedical Tools
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students University fees and bench fees: This studentship will cover university fees at the home rate. However
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PhD Studentship in Computer Science: Quantum-Safe Security for 6G Networks Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates
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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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: 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