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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
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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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on projects that push the boundaries of what is possible, aiming for the next generation of wireless systems, remote sensing and space terahertz instrumentation. You will be part of an inspiring and
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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
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offers an interdisciplinary research environment that relies on a range of different scientific methods, from energy system modelling to remote sensing, econometrics and surveys. Our aim is to advance
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to simultaneously study biogenic carbon cycling and anthropogenic fossil fuel emissions using atmospheric observations (e.g. remotely sensed carbon dioxide concentrations, radiocarbon, co-emitted species) and ground
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their communication, how they embed the past in visions of the future, and how they strategically employ the past to create a sense of collective identity and shared interest to connect with potential voters