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researcher will develop, implement, and apply advanced ways in inverting a radiative transfer model for forest trait and uncertainty mapping at satellite, airborne and drone levels. She/he will explore
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and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
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. The project benefits from access to state-of-the-art HPC resources, including the MeluXina supercomputer, and from strong international collaborations, e.g., Max Planck Institute, Google DeepMind, TU Berlin
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