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Field
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is a highly multidisciplinary area that depends heavily on the underlying space disciplines of structures, mechanisms, avionics, on-board software, ground operations and communication. Bringing all
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integrating knowledge from physics, chemistry, or biology? We are looking for a creative researcher who views the laws of physics not as constraints, but as the ultimate inductive bias for the next generation
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scientific and technological trends and maintaining state-of-the-art expertise; contributing to the dissemination of the results of the activities performed and the transfer of knowledge and lessons learned
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verification at mission/ground level, including resolving non-conformances and supporting the assessment of deviations and waivers; maintaining, updating and controlling the space segment system interfaces
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this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
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to represent the RSM Project Desk in relevant discussions, such as funding team meetings, conferences and knowledge-sharing activities internally and externally. Job requirements Required qualifications
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of mission, spacecraft and/or payload operations Understanding of the development and maintenance of ground infrastructure and/or software systems Knowledge of large operations and associated software systems
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on performance and organisational needs, may be extended up to a maximum total duration of 8 years. Location ESRIN, Frascati, Italy Description EO Data Architect and AI Expert in the Copernicus Ground Segment
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of the EOGS. You will liaise closely with the Ground Segment Department (ground segment architecture and space resilience node), the Future Systems Department (preparation of EOGS space missions), DEFIS (EOGS
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ground segment engineering heads of unit. Your duties may also include supporting other activities within your field of competence and the transfer of knowledge across the Agency. Technical competencies