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interactions. Orbit dynamics evolve over a longer timescale compared to the rapid dynamics of attitude and GNC systems. Simulating these subsystems together requires sophisticated numerical methods to maintain
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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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PhD candidates, and serves about 1,100 students. We are a cohesive Faculty committed to internationally-oriented, interdisciplinary research of high societal relevance with our new research programme
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working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a
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this postdoc with the conditions and support to advance in their academic and/or professional career. This research is funded by the EU as part of the Horizon Europe programme. Resources are secured
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field (including but not limited to Philosophy, Media Studies, Iranian Studies, and Secular Studies); have experience in qualitative research methods, in particular digital media studies and analysis
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aerospace industry, operating in a truly multidisciplinary fashion and fostering research on innovative systems, design concepts, lean development approaches (e.g. AGILE), and working methods. Through its
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science communication – and you will be able to contribute to supervision. There is a significant degree of freedom in terms of research questions and methods, but in general we are interested in
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relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable
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, data science technologies and development methods, identification of future applications of AI, and monitoring evolutions of advanced technologies (such as quantum computing) to explore their suitability