424 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "Babes Bolyai University" positions in Netherlands
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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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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
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practices. GenAI is no longer confined to automating routine tasks but increasingly produces outputs (e.g., texts, images, code) that were once the exclusive domain of human expertise. Despite growing
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drones and outdoor data collection with international teams, and have an interest in coding and handling large spatial and temporal datasets, this position is for you. This PhD offers the opportunity
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; • Conduct focus groups & dilemma-game workshops with lecturers, managers and support teams; • Transcribe, code and thematically analyse qualitative data (NVivo); • Co-create feasible, context-specific
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content, the execution of malicious code on connected devices, or the abuse of limited resources. The idea is to assess the resistance of these models against new attacks, using techniques coming from