449 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions in Netherlands
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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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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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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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developed within the team. LES Development & Application: Implement and extend open-source LES codes to simulate diverse ABL scenarios, including varying stability, shear, and turbulence intensities
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of all phases of the software development life cycle, such as requirements engineering, design, coding, V&V, functional validation at system level, support to operations and agile methodologies. Strong
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are looking for a collaborative and passionate new group member who meets the following criteria: A Master’s degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and
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quality and maintainability of the (open-source) software, for example, with respect to architectural design, and by facilitating a process including, for example, Git, testing, code reviews and usage
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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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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science