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may include electromagnetic ISAC channel modelling, waveform and transceiver design, sensing signal processing, AI/ML-enabled radio interfaces, MIMO beamforming and channel estimation, interference
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may include electromagnetic ISAC channel modelling, waveform and transceiver design, sensing signal processing, AI/ML-enabled radio interfaces, MIMO beamforming and channel estimation, interference
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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is situated in the Intellectual Disabilities Research Institute (IDRIS). The successful applicant will be employed to work on the BEAMS trial which is a multicentre two-arm parallel randomised
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a motivated Research Fellow to join the Parallel
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engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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information on changes in core temperature and the influence of relevant physiological variables during exposure to varying thermal environments. The Research Fellow will collaborate closely with a parallel PhD
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor