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. For more information visit: https://www.slu.se/en/departments/forest-resource-management/sections/forest-remote-sensing/ . Read more about our benefits and what it is like to work at SLU at https
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with different departments in SLU and other universities in Sweden. The doctoral student will work in the Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European
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Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European project FORWARDS and therefore travels within Europe should be expected. Qualifications: Required: Master
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. We will combine field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project
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field measurements with remote sensing and GIS techniques to better estimate the sensitivity of water levels to climate throughout northern Fennoscandia. The results from this project are intended
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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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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
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communicate, define the domain of sensor networks and distinguish it from remote sensing and traditional centralised sensing systems. Embedded sensor network may convey sensitive technical and personal
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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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test methods and develop guidelines to be used for monitoring of climate impacts on northern lakes. The project will include field studies, remote sensing and modelling of lakes and their catchments in