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system, consisting of several components, for processing quantum algorithms, tailored to meet user needs. Developing and testing tooling software, ensuring quality through unit and integration testing
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algorithms developed for the mission. The aim of this project is to develop and test enhanced L2 algorithms for the four hydrological parameters of HydroGNSS, leveraging a combination of machine learning
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website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar
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: designing and developing prototype algorithms for ground processing of Synthetic Aperture Radar images, with a focus on X-band systems; developing Synthetic Aperture Radar image processing; validating and
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to systematically analyse all trench documentation using data-driven methods to better interpret the reliability of underground maps? Your Role As an EngD candidate, you will work under supervision to develop a data
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using AI in Space Exploration You will work with advanced robotic platforms, including humanoids, and support the development of control and interaction concepts in exploration-relevant scenarios. Your
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will: be part of the flight control team of Solar Orbiter. analyze the existing manual workflow and optimize it for automation. develop the algorithm which operates the planning system using the command
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Location ESTEC, Noordwijk, Netherlands Our team and mission Within the Earth Observations Projects Department, the Copernicus Sentinel Expansion missions are currently under development. One
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mission products during the exploitation phase, and phase F, including product and processing scenario definition, algorithm definition and evolution for Level 1 and Level 2 products, the calibration and