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of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core
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in one or more of the following areas: multi-view 3D reconstruction; computational geometry and 3D vision; plant or crop modelling; computer vision for robotics; multi-modal and multi-spectral sensing
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expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
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video, and integrate these algorithms into interactive clinical imaging workflows. They will contribute to research at the intersection of 3D computer vision, neural rendering, and medical image analysis
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scientist to carry out a research programme focused on developing novel ultrafast light-source technologies in gas-filled hollow-core anti-resonant fibres. The role will involve working in close collaboration