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Field
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing, and Arctic geosciences. The Centre is actively involved in
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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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Scholarship (BIPD) to holders of a PhD degree obtained in less than 3 years within the scope of the project 3D-FIRST-“Enhanced Forest Inventory Metrics through Advanced Remote Sensing Technologies”, taking
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managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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(e.g., Python, R, SQL) is an advantage, experience with big data, remote sensing, modelling, or automation of analytical processes is welcome. LanguagesENGLISHLevelGood Research FieldGeographyYears
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water