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We are looking for a Research Engineer who would like to establish themselves at our Division of Forest Remote Sensing (FRS) in the long term, with tasks evolving into the support of research in
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Department of Forest Resource Management The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest
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The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest Sciences, Forest Inventory and Sampling
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The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and
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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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greenhouse experiments, using techniques such as transcriptomics, genomics, metabolomics, and remote sensing. The objective is to generate new insights into the genetic mechanisms controlling drought
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budflush. The role also involves operating a drone for collection of remote sensing data. This sampling form part of the project Landscape breeding: A new paradigm in forest tree management. The main goal
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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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independently and in a team. Driving licence and good English communication are required. GIS-skills and general interest to nature are merit. Work can be combined with master thesis related to remote sensing
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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