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Systems Engineering & Innovation Department, Directorate of Operations at the European Space Operations Centre (ESOC). The Section is responsible for driving cyber security research and development applied
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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architectures accelerating to high speed and operating as airplanes. Apart from the technological challenges in each of the various disciplines involved in creating such a spaceplane, the largest obstacle is to
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-Term Actions Division within the Climate Action, Sustainability and Science Department of the Directorate of Earth Observation Programmes. In the performance of your tasks, you will work in close
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targeting performance improvement) is finding interest in the academic community and applied developments in industry. Recent studies have indicated interest in a reinforcement learning (RL)-based controller
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flight tests and preparing the key building blocks to be used in the new generation of green launch vehicles aimed at reducing recurring costs while extending operational capabilities. The STS ESRIN
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non-destructive sample analysis techniques and their technical and sample requirements Experience with cleanroom operations and cleanroom contamination control procedures and monitoring Understanding
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ESA Mission Classification, you will work directly with the Head of Division, and your tasks will include: becoming familiar with the various classes of mission and the criteria used to classify a
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communication skills (pro-active and positive attitude) to interact with the team members and various communities, and you should be able to work in a multicultural environment, both independently and as part of
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Location ESOC, Darmstadt, Germany Our team and mission You will be part of the Mission Analysis Section in the Flight Dynamics Division at the European Space Operations Centre (ESOC). This Division