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-based system and software technologies as well as advanced software technologies such as artificial intelligence, Big Data and data warehousing are pushed to improve future systems capabilities and their
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proposal for a proof-of-concept Development. The activities to be covered include: Analysing the state of the art of projects based on Artificial Intelligence at ESA to identify synergies and avoid duplicate
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extensions Artificial intelligence, GNSS and/or image/video processor architectures MIL-STD-1553, CAN, SpaceWire, SpaceFibre, JESD204 and Ethernet interfaces Digital signal processing for communication, GNSS
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artificial intelligence systems' interpretability, reliability, and reasoning capabilities. The scope of this position includes both Symbolic[Neural] AI that equips a symbolic reasoning engine such as Prolog
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the Information Technology Department. The team plays a role in assessing and demonstrating the transformative potential to the Agency of the broad and emerging landscape of Artificial Intelligence (AI) technologies; the team
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activities required for ground segment software architecture, data architecture and artificial intelligence systems. Duties Your tasks and responsibilities will include: the definition, development
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frameworks Understanding in design, development or operations of Earth Observation ground systems Knowledge of artificial intelligence (AI) in area(s) of relevance for the position (such as the EO domain
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for the development of integrated circuits (from specifications to tested devices); radiation mitigation techniques for ASIC and FPGA. * except for RF payloads. ** including Artificial Intelligence and Machine Learning
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, particularly the use of Power BI and/or artificial intelligence Previous experience in a multilateral organisation and/or national administration Previous work experience in policy or programme development
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efficiency. Identifying and implementing relevant state of the art technologies such as digital twins, predictive maintenance, applying Artificial Intelligence for e.g. in the inspection of the produced good