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with a truly global impact — contributing directly to biodiversity. With state-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network
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Department of Computer Science and Computational Engineering, and the Department of Geosciences. Research infrastructure is provided via existing data, sensor networks, and established field sites along
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; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Previous experience demonstrated in developing components for Data Spaces; - Demonstrated experience in a professional context. 5
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has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and
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projects such that the successful candidate will have excellent opportunities to participate in international research networks. We also run an advanced drone lab on behalf of the entire faculty
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. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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) corresponding to a minimum of four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the