142 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " positions at European Space Agency in Netherlands
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engineering, performance validation, safety and security. The team’s mission is to ensure the reliability, accuracy, and integrity of satellite-based augmentation systems (SBAS) that support safety critical
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transportation systems and products, including technology policy and harmonisation; preparing new elements and follow-on activities of the Future Launchers Preparatory Programme (FLPP); leading the implementation
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transportation systems and products, including technology policy and harmonisation; preparing new elements and follow-on activities of the Future Launchers Preparatory Programme (FLPP); leading the implementation
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the frame of VEGA-E programme, the development of engineering tools is necessary to have a continuous follow-up of the design loops of liquid rocket engines and their propulsion systems. The internship here
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different bodies. The main languages from and into which texts are translated are English, French and German. The Division maintains a trilingual terminology database with over 30,000 terms and uses computer
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diplomatic network and managing the VIP participation to launch events with the support of the communication services. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity
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conjunction with an enhanced visualization of their output and performance (e.g. through dedicated cockpits and Key Performance Indicators). You are encouraged to visit the ESA website: http://www.esa.int Field
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computer and Data Handling (PL/PF) for space systems, including their procurement and end-to-end validation (in close collaboration with TEC-EF); Engineering of on-board software in all phases including pre
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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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mathematical and engineering packages and programming languages for scientific and technical computing, such as Python, Matlab and STK is recommended; knowledge and background in statistics, with a focus on