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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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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 complexity, the need for European
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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 engineering
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, the Section is in charge of the improvement of processing algorithms during the exploitation phase of a mission. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website (https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https://www.esa.int
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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, navigation and control, unconventional computing, and mission analysis), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of