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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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coupling plants, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming
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particular interest in biodiversity and remote sensing. The candidate must hold a PhD in a relevant area, such as remote sensing, ecology, or forest science. Merits for this position are computational
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from remote sensing, as well as strong quantitative and programming skills (in MatLab, R, Python, C, Mathematica, or other languages for data analysis and model implementation) are merits. The selection
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publications and grant applications. Qualifications: Required: A PhD degree in a relevant subject. Experience working with remote sensing applied to agriculture (drones and satellite). Merit: Holding an EU or
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, as for example using remote sensing technologies. Ideally, such technologies will provide information about stem form and crown attributes, which will relate to stand composition. There is the