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education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible
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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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the composition and functioning of the Earth’s ecosystems. INES combines data collection from field studies and remote sensing, analysis of geospatial data, and theoretical studies from e.g. ecosystem
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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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these areas. The PhD student will investigate variation and changes (in time and space) in lake water and groundwater levels using remote sensing, GIS, and statistical methods. The position also includes
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. The PhD student will investigate variation and changes (in time and space) in lake water and groundwater levels using remote sensing, GIS, and statistical methods. The position also includes responsibility
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, biogeochemical cycles, ecosystems, and environmental conditions, and/or statistical analyses of large datasets, including from remote sensing, as well as strong quantitative and programming skills (in MatLab, R
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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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and being able to sense, activate and communicate, define the domain of sensor networks and distinguish it from remote sensing and traditional centralised sensing systems. Embedded sensor network may