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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
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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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Infrastructure? No Offer Description The International Max Planck Research School on Earth System Modelling (IMPRS-ESM) invites outstanding students from all over the world to apply for PhD positions in our
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11.02.2026, Academic staff The TUM Chair of Aircraft Design is looking for a doctoral researcher in the field of Ground and Flight Testing of eVTOL & fixed wing drones/UAVs. The research is targeted
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within this highly ambitious and possible ground-breaking project will be to investigate the fundamental principles of phase formation and synthesis of rare earth free hard magnetic material. Your work
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, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. The Institute of Earth Sciences is seeking, at the earliest possible
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 9 days ago
of Excellence RESOLV (Ruhr Explores Solvation), the Early Career research group “Catalysis” of Dr. Hanna Hinrika Cramer develops organometallic catalysts with earth-abundant first-row transition metals. The team
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geophysical prospection (ERT), sediment sampling to determine soil physical parameters, drilling, and the establishment of test pits for pedostratigraphic documentation and sampling. Additional tasks include
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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