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Employer
- European Space Agency
- University of Groningen
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Field
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associated with the spin-in of applied artificial intelligence to the space system domain; Designing and conducting representative capture-the-flag exercises, and in-orbit cyber exercise and technology
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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systems for European space vehicles, and related processes and facilities. You will also maintain close connections with the world-leading research communities involved in artificial intelligence/machine
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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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