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models and will act as a data science expert for other consortium partners. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below
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. The Directorate of Space Transportation is a programme directorate within the ESA matrix structure, whose activities are performed in cooperation with the other ESA directorates and the Director General’s Services
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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-degree panoramic vision and embodied, intuitive interaction, situating users in context-rich environments that mimic real-world experiences. These features make immersive technologies well-suited for tasks
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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daily work, it acts as a pathfinder for future low-cost and green launch systems. The Directorate of Space Transportation is a Programme Directorate within the ESA matrix structure, and its activities
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge