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Field
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://www.slu.se/en/about-slu/work-at-slu/ Remote Sensing for Integrative Forest Management Description: We are now seeking a PhD candidate to work on the use of remote sensing for integrative forest management (IFM
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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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of vegetation health. Translate insights gained to the exploitation of current radar satellite missions. You will be supervised by Professor Susan Steele-Dunne, an expert in microwave remote sensing of vegetation
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team for remote sensing for forests. This is a vital and very productive team of professors, researchers, and PhD students, with a large international network covering several research disciplines
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Advancing the monitoring of seagrass dynamics with hyperspectral remote sensing Project description: Seagrasses provide numerous ecological functions and ecosystem services, including food and
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
Preparation of remotely sensed observations, e.g., from GRACE and Swarm satellites Assimilation of gravimetry and electromagnetic observations Analysis of modelled and state estimated geophysical systems
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a PhD in the area of ML/DL. • Experience in the application of ML/DL to remote sensing. • Able to work independently and in a team. • Open to fixed-term contract. More Information Location
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surface modeling and/or remote sensing; Water resources management; Crop modeling -Data analysis tools such as MATLAB -Programming languages such as python, C++ and/or FORTRAN -High-performance computing
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polar ocean planktonic ecosystems and biogeochemistry to climate change. Research duties will include a mix of data analysis, numerical model development, and satellite remote sensing. The postdoctoral