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effects on astronauts. Detailed analyses of such effects, and possible ways to shield and mitigate against them, are typically conducted by using environmental prediction in combination with Monte Carlo
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contribute to interdisciplinary projects with other ACT researchers, combining deep learning theory and artificial intelligence with areas such as mission analysis, guidance and control, optimisation, space
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the development of onboard AI systems capable of continuously monitoring payload data, platform status, and environmental conditions, and autonomously updating mission plans accordingly. These systems will combine
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and outside ESA; initiate and contribute to interdisciplinary projects with other ACT researchers, combining applied mathematics and advanced numerics with areas such as mission analysis, guidance and
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projects with other ACT researchers, combining computational bio-inspired modelling and biological abstraction with areas such as biomimetics, AI, mission analysis, guidance and control, or unconventional
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through disciplined cross-domain collaboration, combining biological insight with engineering analysis to define credible research pathways and space-relevant outcomes; scout, follow and, when useful