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Field
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and offers the opportunity to work at the forefront of global change ecology, biodiversity science, and satellite time-series analysis. The position will be hosted at the Botanical Institute
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this project is to exploit the potential of satellite Synthetic
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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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with Sophie Cravatte (LEGOS). The goal is to jointly use mooring data (currents, temperature) and sea surface height measurements from satellite altimetry (SWOT) to disentangle the dynamics of internal
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on the development of novel atomic oxygen (ATOX) resistant coatings to increase the durability and reduce drag of satellites in very low Earth orbit (VLEO). The postdoctoral research will focus on developing and
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the Straits. Satellite and tide gauge observations will help relate processes in the Straits to local and regional climatic conditions. The candidate will join research cruises and collaborate with graduate and
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position within a Research Infrastructure? No Offer Description Activities: The post-doctoral fellow will be responsible for: i) Acquisition, processing, and digital classification of satellite and drone
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
methods to homogenize AOD observations from the geostationary constellation of weather and atmospheric monitoring satellites (e.g. GEOS, HIMAWARI) utilizing well calibrated AOD observations from low earth
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to the validation of an innovative hybrid satellite digital twin, the Titan Forge, which includes hardware and software components emulating the behaviour of the complete mission. This can speed-up the development
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications