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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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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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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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presence aimed at educating the public and bringing transparency to this emerging science. The Q-BIOMED Hub is led by UCL, supported by £24 million from UKRI and the NIHR, and brings together academic
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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare
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opportunities within UCL including Chemistry, Physics, London Centre of Nanotechnology, and Engineering departments as well as with Imperial College London, UK Dementia Research Institute, and our leading
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monitoring. Analyze ambient and anthropogenic seismic noise to infer near-surface properties and detect geohazards such as sinkholes and subsidence. Build scalable pipelines for processing, quality control
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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23 Jul 2026 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Application Deadline 5 Aug 2026 - 23:59