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detection is set according to the local statistics of the radar sea clutter. The threshold method works well for large ships due to their high intensity value compared to sea clutter. However, in cases
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intelligence and industrial policy. Scouting the best suited production practices, methodologies, hardware/software implementation, etc. Coordinating with ESA programmes, directorates and external initiatives
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software systems engineering, the Section works with young professionals, researchers and students at universities. Through its diverse setup, the Section handles tasks ranging from technical infrastructure
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unique opportunity to work at the intersection of software engineering and satellite navigation, contributing to the next generation of SBAS technologies. You will collaborate with experts in
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; development of novel methods, new technology implementations, (e.g. ML models) and/or high-level products; contribution to the development and curation of open data sets and tools enabling the community
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of avionics embedded system architecture, including associated technologies, methods and tools (e.g. MBSE, Avionic FDIR), in coordination with the staff responsible for subsystem elements and architects
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integrate modern AI methods into control and decision-making, enabling humanoid robots to adapt to unpredictable environments and support astronauts more effectively. The project contributes to ESA’s efforts
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mission of the Cosmic Vision programme. Its primary objective is to observe at least 1,000 known exoplanets using the transit method, studying and characterising their chemical composition and thermal
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hyperspectral imaging mission for the environment. You will design methods that combine large “foundation” models with ultra-light detection running on the satellite to deliver trustworthy, low-latency
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the Lunar landscape. The XR LAB is mainly composed of developers and engineers that focus on scientific and visual realism, using the latest technologies in hardware and software. Candidates interested