107 grounding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs in Germany
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- Max Planck Institute for Marine Microbiology
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Earth Observation). You will investigate novel approaches to improve the capabilities of Geo-Foundation Models (GeoFMs) for Earth Observation (EO) applications, with a particular focus on downstream
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were conducted and a soil–plant-microbiome model based on the functional-structural plant modeling framework CPlantBox was developed. The experimental dataset now provides the basis for model calibration
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Earth Observation). You will actively work on integrating uncertainty-aware modeling capabilities into Geo-Foundation Models (GeoFMs). GeoFMs are typically pretrained on large-scale datasets using self
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currently involved in the construction of the Second Earth Spectrograph (2ES), the CUBES UV spectrograph for the VLT, and the ANDES and MOSAIC instruments for the ELT. The LSW invites applications
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Job Offer from September 14, 2026 The Max Planck Institute for Chemistry researches the Earth and its environment across a wide range of scales, from the nanoparticle to the planet and from
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convective clouds: over land with strong isoprene emissions, and over the ocean, where there is little. Satellite data and global modelling. With the group of Dr. Andrea Pozzer, you will combine satellite
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and predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across timescales from days to millennia. A central objective is to improve the representation
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predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across timescales from days to millennia. A central objective is to improve the representation of marine carbon
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that appreciation and trust are the basis for satisfaction and motivation. We also attach great importance to intensive induction training and an open and collegial working environment. Whether sports, music or team
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predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across timescales from days to millennia. A central objective is to improve the representation of marine carbon