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-water settings. The research will develop a unified framework that fuses heterogeneous sensing modalities through uncertainty-aware probabilistic optimization while maintaining semantic, structural, and
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techniques for robust perception in challenging underwater environments, including visual (and acoustic) sensing to enable reliable object detection, scene understanding, and interaction. You will thus
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embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body
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public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a
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10th November 2025 Languages English English English Do you want to develop methods in the interface between AI and forest ecosystems? PhD scholarship: methods for characterizing forest structure
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work on developing improved methods using deep learning with 3D point clouds to characterize forest ecosystem structure and function. 3D point clouds from LiDAR and photogrammetry provide an excellent
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of research With an increasing need for data transmission bandwidth in applications like downlinks from satellites/drones to ground stations, for IoT, telecommunication or in search and rescue operations
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including the research statement Proficiency in both written and spoken English Scientific qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science
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and floral resource availability on pollination services and apple yield”. This research aims to explore how the habitat surrounding orchards, orchard structure, and manipulation of floral resources can