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in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be in distributed database systems
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PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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intelligent and highly distributed systems with the use of advanced AI/ML techniques. Research topics include future mobile networks and 6G, AI/ML for network intelligence, edge intelligence, distributed AI
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, cloud computing, and distributed architectures, to enable efficient analysis of large-scale biomedical datasets. Collaborate with clinical and academic partners, both internally and externally, to ensure
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, distributed systems, or AI optimisation A strong publication record in relevant venues (ICASSP, Interspeech, AAAI, EdgeSys, ICDCS, IEEE IoT Journal, IEEE Transactions on Mobile Computing, IEEE Transactions in
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on speech processing, edge computing, TinyML, distributed systems, or AI optimisation A strong publication record in relevant venues (ICASSP, Interspeech, AAAI, EdgeSys, ICDCS, IEEE IoT Journal, IEEE
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Do you have in-depth knowledge of distributed systems? Have you ever designed and implemented system components for a large cloud platform? Would you like to bring your technical skills to real
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manage research activities, including distributing questionnaires, conducting interviews, and analysing data. Contribute to the development of the Digital Lives Framework and an accredited CPD training