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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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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
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and safety-critical roles, and establishing the associated levels of assurance, verification and acceptance criteria; developing hazard analysis methodologies tailored to AI-based systems, extending
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, including experience with data analysis and statistics; experience with web scraping and working with large-scale datasets is an advantage; interest in combining multiple data sources (e.g
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and rhetoric, literary analysis, political philosophy, and cultural history, and who fostered an academic environment that revolved around thinking and discussing. After Professor Witteveen’s untimely
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with probabilistic approaches and analysis. Actively pursue personal scientific research, using facilities within ESA centres and those accessed through partnerships with external organisations