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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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transformative innovation in the sector. Our vision is to become an EO innovation hub connecting EO with a growing ecosystem of disruptive and transformative innovation like AI, ML, quantum computing, edge
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its role as Design and Procurement Agent, under the programme management of the European Commission (EC). Version 3 of the system is currently under procurement under Phase CD. The Division is also
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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navigation. The task also includes the development of the necessary analytical and numerical methods and software tools. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field
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intelligence Motion and actuation Robot-user interfacing Robot ground testing You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship The Trainee will be
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programme management across the Agency consistent, transparent, and future-ready. As the custodians of the Programme and Project Management Requirements, we ensure that these standards evolve with
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the Agency. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship You as an AI/ML Software Engineer will develop AI models and integrate them
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This is a post for a limited duration of three years. Location ESAC, Villanueva de la Cañada, Spain Description ESA maintains a world-leading Science Programme with missions in heliophysics