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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
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funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
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? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is a vacancy for a PhD Research Fellow in borehole geophysics
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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There is a vacancy for a PhD Research Fellow in borehole geophysics at the Department of Earth Science . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career