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space systems; Investigating and implementing PQC algorithms to safeguard space data systems against quantum computing threats; Evaluating the performance and security of PQC solutions in the context
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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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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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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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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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the Project Manager(s) on all activities related to project cost, schedule and risks as well as project management processes. You will hold key responsibilities in the preparation, procurement and monitoring
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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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: contributing to managing engineering activities for the design, development, qualification, acceptance and validation of payloads within the Secure Connectivity Space Segment, adhering to agreed schedule, cost
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for the design, development, qualification, acceptance and validation of satellites/platforms within the Secure Connectivity Space Segment, adhering to agreed schedule, cost and technical requirements, including