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, institutional analysis, and resource-use conflicts. The Departments of Human Geography, Physical Geography and Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and
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permanent contract. Managing Directors Matthias Tschöp and Mike Frieser: „We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote
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also able to compare the models and simulation data? Do you have experience with remote sensing and other measuring methods for atmospheric measurements (ideally with a focus on wind)? Are you also
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, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
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supervisor RESEARCH AREAS Doctorate projects are performed within one of the various research groups: Physics: 1. Environmental Physics Remote Sensing Atmospheric Physics and Chemistry Oceanography Terrestrial
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systems, remote sensing and computational geosciences) scientific computing (computational aspects of physics, chemistry, biology, engineering, etc.) Course organisation Organisation of studies depends
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: Bioclimatology Remote Sensing and Forest Inventory Forest Botany and Tree Physiology Forest Management and Growth Forest Genetics and Tree Breeding Forest Policy and Forest History Forest Labour Science and
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, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
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biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing
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motivated researchers with a MSc level knowledge in agricultural or hydrological sciences, with sound expertise in Remote sensing applications, big data integration, developing and applying deep learning