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Field
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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scientific/technical context Satellite remote sensing observations provide a variety of measurements of oceanic and atmospheric variables at a rich spatial variability. These data offer a broad perspective on
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the Job related to staff position within a Research Infrastructure? No Offer Description About the position A PhD opportunity in Multi-Aspect Remote Sensing and Innovative AI methods for Land Resource
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based on remote sensing. You will also combine (existing) biodiversity information on the forest and grasslands with remote sensing-based proxies of biodiversity to assess dependency on landscape settings
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combining different complementary sources of information (e.g. remote sensing, satellite imagery, LiDAR, orthophotomaps), and (d) to build a decision support system (Dashboard) to evaluate the exposure
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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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projects and activities. You will present the project results at national and international conferences and write scientific articles. Your ProfileAdmission Requirements PhD in Remote Sensing and
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rely on sophisticated SatComs to reach remote areas, provide low-latency communications, and enable advanced connectivity capabilities in combination with terrestrial networks. The objective of this PhD
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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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research. MiRadOr is based on a one-year long field campaign with remote sensing instruments in northern Germany and includes an intense observation period during summer where our team will be in the field