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Post date September 12, 2023

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Our research follows a high-risk / high-gain approach. We work highly interdisciplinary and make best use of Data Science (Artificial intelligence / machine learning) for Earth observation data, having in mind grand challenges of society via our covered application fields, ultimately contributing to the Digital Twin of Earth.

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