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the design, implementation, integration and validation of prototype and pre-operational services making use of EO data, AI/ML techniques and modelling environments relevant to SRN applications; contributing
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comprehensive knowledge and experience of satellite design, development, verification/testing, launch and in-orbit validation Proven experience of managing the development of space projects Knowledge of matters
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BSI colleagues, you will help re-design and structure the BSI website in relation to the theme ‘Empowering the Young’. This includes structuring project overviews and activities within the theme and
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on various aspects of research data management; You will advise researchers in different phases of the data life cycle: from preparing a data management plan, organizing and archiving to responsibly publishing
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line with cost, schedule, quality and security requirements; supporting the design, implementation, integration and validation of prototype and pre-operational services making use of EO data, AI/ML
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the associated risks; managing the technical baseline applicable to the Galileo Ground Segment SECMON; managing the overall design, development and validation/qualification activities relating to the SECMON and
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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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into a decisive decade for space system innovation. Small satellites, CubeSats and microsatellites are no longer niche platforms; they are becoming strategic enablers for large constellations, resilient
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communication links, at system, subsystem, element and equipment level. It covers the missions from study phase to definition of requirements, design, development, security integration / verification, and