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and associated algorithm definition/validation, relevant instrument simulators, quick look systems, the call for proposal system and mission planning systems; Monitoring and supporting the ESA SOC-led
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objectives with societal indicators, geophysical algorithm development and related research activities; supporting the implementation of the renewed ESA EO science strategy and the definition of future
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intelligence and machine learning technologies/algorithms Background in software engineering and programming languages, data analysis and BI tools Proven experience in technical project and service management
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-CC). You will be responsible for all relevant industrial contracts, ensuring that project objectives are achieved within the defined schedule and budgetary constraints. Duties Your main
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Computer Science, Information Science, and Artificial Intelligence and a number of research Master's programmes in these fields. It employs over 200 people, working in four divisions: Algorithms, AI & Data Science
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related to the position: AOCS subsystem architecture, design, testing and verification (including control design algorithms, analysis and simulation) Pointing error engineering Smallsat and nanosat AOCS
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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-friendly. Once fully onboarded, you will join your colleagues in a 24/7 on-call rotation for security incidents, roughly once every six weeks, according to a shared schedule. You also possess: Bachelor level
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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activities for G2A satellite design, manufacturing, AIV/AIT, qualification and on-ground acceptance, in line with agreed technical, schedule and cost requirements, with minimum risk; managing activities