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TN/NTN convergence Intelligent algorithms and mechanisms for context-aware traffic steering between TN and NTN TN/NTN orchestration solutions for end-to-end service assurance and resource efficiency
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School/Unit: School of Electrical, Electronic and Mechanical Engineering This advert will close at23:59 UK timeon 26/05/25 The interviews are anticipated to take place week commencing 09/06/25 We recently
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implementation Knowledge of networking protocols and architectures PhD or equivalent R&D experience in computer science, networks or communications, and/or experience with at least one of the following areas
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/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as VMWARE, and heterogeneous infrastructure