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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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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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. Validate and test these solutions with respect to the classical methods. choose an appropriate data processing board, optimise the existing software that has been developed, tested, and validated, and then
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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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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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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future
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research Behavioural competencies Education You must have completed and obtained your PhD before starting the Research Fellowship. Applications submitted by candidates within five years of receiving
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the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data Science Section is to lead the Agency’s centre of excellence