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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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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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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity to work with some of the most advanced
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research in Orthopedic Computer Science, University Of Zurich PhD Student in
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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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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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Design invites applications for a PhD stipend in the field of causal discovery and spatiotemporal analysis of brain signals. The stipend is within the general study programme Electrical and Electronic
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) Positions PhD Positions Country Norway Application Deadline 13 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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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