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above. Education in related fields such as data science, AI, computer science, machine learning, space engineering, Earth system science, climate, etc. would be an asset. Additional requirements In
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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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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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight; they archive and curate the mission data during operations and beyond
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. This proposal should be uploaded to the "additional documents" field of the "application information" section. You should have: You should hold a PhD in systems engineering, computer science, informatics or a
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prioritisation and tailoring in accordance with your background and preferences and the Agency’s requirements: 1) Secure software engineering for space data systems Exploring advanced solutions for vulnerability
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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Division, Quality Department, Directorate of Technology, Engineering and Quality. The Division provides PA&S functional support to ESA projects and technology developments and is also responsible
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: identify the primary avionics and data handling signals that will inform the development of a potential general-purpose algorithm adaptable to various missions, such as for Earth observation and science