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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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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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; science software development experience and programming skills; good analytical and communication skills, with the ability to work in a multicultural environment in an autonomous manner; experience in
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discipline will include: becoming familiar with PA/QA practices, methodologies and disciplines (PA/QA, RAMS (reliability, availability, maintainability and safety), software PA, EEE components, and materials
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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, including data modelling, and simulation tools and languages must be demonstrated convincingly as part of the job application. Solid software engineering skills would be considered a major asset for this