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leverage large-scale AI models to: integrate heterogeneous EO data sources, such as satellite, aerial and in-situ data, across spatial and temporal scales; enable zero-shot or few-shot learning for rapid
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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staff in the Directorate of Earth Observation Programmes and in particular with the Actionable Climate Information Section. You will be part of the ESA Φ-lab. Our mission is to accelerate the future
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to: fuse CHIME hyperspectral data with Sentinel-2’s (or other satellites’) multispectral imagery to enhance spatial and temporal resolution for precision agriculture, land degradation monitoring or water
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solutions. Research may cover a wide range of innovative topics: exploration of innovative methodologies and technologies; development of novel methods, new technology implementations, (e.g. ML models) and/or