41 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" uni jobs at European Space Agency in Netherlands
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-C and Vega-E Programme Managers. Serving as the STS focal point for solid rocket propulsion activities in the Vega-C and Ariane 6 exploitation programmes, in coordination with the relevant STS
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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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and assessing knowledge and trends in smart manufacturing and data-driven process optimisation; supporting STS-IVI engineers in assessing the applicability and potential deployment
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in the Directorate of Space Transportation (STS), you will provide end-to-end support to missions requiring launch services. This includes all aspects of launch service preparation, from early mission
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; monitoring activities performed by economic operators in both programmes and under technology programmes in STS and throughout the Agency; identifying, leading and efficiently coordinating and deploying
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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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management to monitor and minimise the project risks, identifying critical development problems and assisting in their resolution; interfacing with other directorates and programmes, in particular with STS
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(including automatic code generation), AOCS hardware, and spacecraft avionics Pointing error engineering Advanced control, optimization and estimation techniques Smallsat and nanosat AOCS Laboratory facility
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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