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analysis Five areas have been identified for future Artificial Intelligence development and implementation in standardisation: A chatbot designed to help users discover standardisation information more
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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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intelligence and machine learning techniques; Pointing engineering, including stabilisation techniques and control strategies; Failure Detection Isolation and Recovery (FDIR) for AOCS and GNC systems; State
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, metrology, sensing, quantum key distribution and cold atom interferometry; Optical chain architecture: design, analysis, and technical assessment of optical instruments, subsystems, detection chains systems
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. You will benefit from mentorship, structured onboarding, and access to ESA’s technical resources. The Toulouse office provides a professional and welcoming atmosphere, with opportunities to observe
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political data which will enable decision-making based on factual information readily and rapidly available at just a moment’s notice. Candidates interested are encouraged to visit the ESA website: http
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Establishing the (multi-year) plan of activities for the Section, covering required competences and assignment of resources; Establishing annual objectives and managing/coordinating on a day-to-day basis
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integration of state-of-the-art technologies, positioning the team at the forefront of exploration advancements. You can find out more about the work we do in AI here: The power of AI in space exploration – ESA
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. The primary objective will be to analyse the nature and causes of scalloping artifacts in InSAR imagery, evaluate their effects on the interferometric phase and coherence, and develop strategies to mitigate
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system design consolidation study as a mission of opportunity within the FutureEO-1 programme. The objective of MAGIC is to provide long-term, accurate monitoring of the temporal variations of Earth’s