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practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with high-impact space
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different technological and regulatory landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project
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combination with Monte Carlo radiation simulation toolkits such as Geant4 and its application, GRAS (Geant4 Radiation Analysis for Space). ESA is a signatory member of the international Geant4
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microelectronics. Advanced high-performance devices used in space applications are usually not radiation-hardened and thus require dedicated test campaigns and complex radiation analysis. The research activity