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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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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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-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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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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capital expenditure, income recovery, and schedules. coordinating with the Office of the RES Directorate, other departments in RES and relevant key stakeholders regarding overall RES and REFM development
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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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-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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invitation to tender through to flight commissioning, ensuring compliance with the schedule, technical requirements and budget. Ensure the smooth integration of payloads and oversee the coordination between
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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