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competences and utilising innovative cost models, for instance by adopting COTS products and services. Ensure the cost effectiveness and end-to-end financial sustainability of all ESA IT activities. Engage
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Advanced control, optimisation and estimation techniques Artificial intelligence and machine learning techniques for AOCS applications and engineering AOCS modelling, AOCS software, AOCS hardware and
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stability and efficiency. Onboard Software Modelling: Modelling the behavior and timing constraints of onboard software introduces significant complexity. Ensuring alignment between the simulated and real
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directorates of the Agency with independent responsibility lines to safeguard the “checks and balances” role of the Department. Unlike other divisions of the Department, which are largely dedicated to space
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checks; ensuring compliance of the documentation received, both classified and unclassified, with the established requirements by the projects and the ESA admin instructions; ensuring that all relevant
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, LabVIEW, CABARET, RBSDYN , OptiStruct, etc.), with a particular emphasis on: time and frequency domain performance representation and analysis; multibody system modelling and simulation; design (including
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preparatory phases, missions in development, and missions in operation; translating campaign requirements into the definition of fit-for-purpose airborne or ground-based campaign activities to be implemented
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throughout all project phases, with a particular focus on reliability of electronic assemblies and the associated manufacturing processes, predictive performance modelling, process and product verification and
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security aspects and approaches Digital engineering, particularly the application of model-based system engineering technology and approaches Behavioural competencies Result Orientation Operational
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software verification and validation methods and processes, modern software architectures and frameworks, new generation processors and multicores and model-based engineering. The Section also participates