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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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estimation, sensitivity analysis and uncertainty quantification; implement interpretable, validated computational models using modern simulation and inference toolchains, including MuJoCo, Isaac-based
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and
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-driven dynamical systems, perturbative theories in celestial mechanics, symbolic regression, inverse methodologies via differentiable simulations, efficient high-dimensional numerical quadrature and more
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and evolution of Digital Twin Earth by undertaking collaborative research across a range of domains and advancing the use of EO for enhanced simulations, predictions and what-if scenarios. Supporting