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Management is one of Europe’s leading research groups in the field of Earth observation and remote sensing. Within the project “Assessing the impacts of transient forest edges on biophysical conditions and
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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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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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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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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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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: 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