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including interplanetary cruise, aero assistance, precision landing, ascent, rendezvous and docking, re-entry, formation flying and drag-free systems. Special emphasis is placed on the following areas
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interventions. Your qualities This position may be the right fit for you, if you: have a PhD in Museology, Heritage Studies, History or a related discipline; have experience with public engagement and curation
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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pathfinder to explore novel, potentially promising areas for ESA and the space sector, ranging from applied to basic fundamental research topics. An important task of the team is to communicate scientific
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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administration or another discipline that is relevant for TransEuroWorkS; For a junior researcher: a master’s degree in comparative political economy, political science, economics, sociology, public administration
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, the following is required: PhD in high-speed aerodynamics, turbulence, transition and combustion modelling, or another relevant aerospace engineering discipline. Additional requirements In addition to your CV and
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a PhD in Cultural Studies, Media Studies, History, Anthropology, Postcolonial Studies, Dance or Music Studies, or a comparable discipline; You are able and willing to take a pro-active role in our
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characterization of 3D structures using microscopic and tomographic techniques. You will also work with architects, designers, and engineers to develop biomimetic models of fiber-reinforced structures in order to