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will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and
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candidate will become part of a dynamic and internationally connected research environment at the Department of Engineering Cybernetics, renowned for its leading expertise in optimization, control, and
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date: 1 January 2026 or earlier. The PhD project is part of TIES project “ Tunable ion separations with micro-structured composite membranes ” . The project is funded by The Research Council of Norway
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on characterizing forest structure and biodiversity via Unsplash Professional qualifications (required) Master’s degree in machine learning, computer science, or a forest-related field with a focus on remote sensing
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Infrastructure? No Offer Description UiB - Knowledge that shapes society Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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, alongside a floating turbine concept for deeper waters, to assess their behaviour, sensitivity to wave–current interactions and associated structural and performance challenges. Key research topics include
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Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes. Do you want
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us! Researcher position in Research & Innovation integration at MediaFutures Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world
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like media experiences and trust, recommender technology, content production and analysis, content interaction and availability, and Norwegian language technology. The goal is to develop responsible