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proposing approaches to address these gaps as input to the relevant ESA technology roadmaps; contributing to semantic interoperability, i.e. how to use conceptual data models (ontologies) to drive meaningful
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-electronic performance measurements, including the associated instrumentation and data analysis Knowledge of payload technologies and general space science instrumentation Behavioural competencies Result
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Robotics, control, computer science, computer vision, machine learning and AI, remote operations, human-robot interaction and
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supporting this development where needed in accordance with the Vigil Science Plan; supporting the Mission Manager during Phase E2 to ensure that: the mission data are fully exploited such that mission