29 python "Computer Vision Center" "Computer Vision Center" positions at European Space Agency
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development vision and the ESA Vision 2040. To this end, the Department has defined strategic roadmaps for key technologies aimed at developing key capabilities in line with the strategic vision. To
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and opportunities associated with developing space debris mitigation requirements. Formulation of future scenarios incorporating technology roadmaps, such as the ESA Vision 2040, and hypothetical
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competitiveness. .Our vision is to be the “EO innovation hub”, connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge computing
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accelerate the future of Earth Observation via transformative innovation and commercialisation actions strengthening ESA Member States’ world-leading competitiveness. Our vision is to be the “EO
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domains covered by the position Deep understanding of Linux, Windows, real-time OS, Active Directory/LDAP and other IT enterprise software Proficiency in scripting languages such as Python Very good
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explored during the later stages of the selection process. Applicants should have completed, or be in their final year of a university or graduate degree in robotics or computer science, mechatronics
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, computer science, artificial intelligence, systems engineering, software engineering or a related field, with a demonstrated focus on AI, autonomy or complex software systems. Additional requirements In
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five years of receiving their PhD. In particular for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory
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maintenance of the existing Python library used in the SCI-F laboratories; performing digital system programming (microcontrollers and FPGAs) for control and automation of test equipment; preparing and