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the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be part of the WASP Graduate School including
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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and
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collaboration between two departments in different faculties: The Department of Computing Science (Faculty of Science and Technology), where the PhD student will be part of the AI Policy Lab, an interdisciplinary
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26 Oct 2025 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Electronic engineering Engineering
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detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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the main supervisor. The research is part of the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be