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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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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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projects. The first project (Innovative Approaches to Woodworking Traditions of Interior Norway) analyzes tree and forest structures to conserve cultural heritage by mapping the occurrence of timber
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sensitivities and eye size. In this PhD project, the aim is to compare retinal structure, cone photopigments and optics in members of the Cervidae and Ursidae families to understand how these factors collectively
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the Centre for the Study of Professions. Programme description Information about the content and structure of this programme is described in more detail in the programme description (student.oslomet.no) PhD
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fillers. The research addresses one of the most pressing challenges in the construction industry, reducing greenhouse gas emissions associated with cement production, while maintaining or improving
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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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the employment period can work independently and in a community, and be innovative and creative are structured and have a high work capacity have good skills in English, both written and spoken Marius Vervik/UiS
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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programming languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility