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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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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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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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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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water quality and their dynamics in the fjords of Floundering data generated from these facilities and remote sensing. To advance knowledge in this field, the Department of Ocean Operations and Civil
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) physics, geosciences, meteorology, oceanography, or similar. You have strong programming skills (Python or similar). You have affinity with spatiotemporal data analyses, remote sensing and numerical
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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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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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, including establishing and operating field measurements Experience with remotely sensed data and data sources Competence and experience in hydrological, glaciological or geophysical modelling Strong