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five years of receiving their PhD. In particular for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics
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mission data during operations and beyond. The main objective is to maximise the scientific return of the missions for the benefit of humankind. SCI-E and SCI-S also support research activities, which
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submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace
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development programmes in the area of radiation and component reliability. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Growing mission
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
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guidance and navigation, data-driven modelling of spacecraft and environmental dynamics, mission planning and operations, and on-board learning in resource-constrained environments. You are strongly