88 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at European Space Agency in Netherlands
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development of demonstrators (such as Prometheus and Themis). Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship
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the existing In Orbit Demonstration to the future preparatory phases. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose
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will generate an opportunity for the Intern to work closely with experienced experts on System level space mission design. Candidates interested are encouraged to visit the ESA website: http
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according to agreed development plans, in compliance with the applicable System requirements, standards and System Engineering requirements. Candidates interested are encouraged to visit the ESA website: http
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support to the Head of Division on this topic. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Your tasks and responsibilities will be
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Lab). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As a member of the GNC, AOCS and Pointing Division in the Electrical Department
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encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship You will contribute to a range of activities of the Technology Coordination and Planning Office, in
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Structures Inflatable and Deployable Structures Launchers / Re-Entry (Hot Structures) / Planetary Landing Vehicles Crew Habitation / EVA Suits You are encouraged to visit the ESA website: http://www.esa.int
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features of military and dual-use space systems Behavioural competencies Education A master’s degree in engineering or a scientific discipline is required for this post. Additional requirements You should
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials