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                Employer- NTNU - Norwegian University of Science and Technology
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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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                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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                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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                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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                resources by being designed as dual-purpose elements targeting geothermal heat exchange and structural support for buildings. Yet, their wider use has been hindered by the lack of (i) sustainable expertise 
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                independently and in a structured manner. The applicant must demonstrate good collaborative skills and thrive in a cross-disciplinary research team. Applicants must be highly proficient in both written and oral 
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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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                prevalence, population structure and virulence. The project will establish diagnostic tools, map the occurrence and distribution of important bacterial arthritis pathogens in pig herds, and investigate