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from multispectral datasets You will contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from multispectral datasets. This project combines deep
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milestones and go/no-go gates, with a view to validating ESA’s milestone or gate acceptance; proactively monitoring relevant schedules, identifying risk and problem areas and proposing mitigation actions
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, schedule and risk management for space segment development and/or other related activities. You will provide essential support to project teams in managing their interfaces with international partners as
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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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on all aspects of your area of competence, identifying risks and problem areas and proposing mitigation actions, where appropriate; Contributing to the management of the schedule and the maintenance
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long-term plans for all activities of the Directorate, as well as related schedules, financial plans, workforce plans (staff and contractors), procurement plans; defining the Directorate’s budgets and
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to procedures in relation to health and safety; preparing surveys (including user surveys) and reports; preparing implementation plans and schedules, including budget planning and execution monitoring; evaluating
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, if necessary, ESA’s international partners; applying appropriate methods for managing risks, achieving budget compliance, and maintaining the schedules agreed with international partners; coordination
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; contributing to the management of the schedule and the maintenance of the overall project risk register and proposing schedule risk mitigation actions; supporting the Head of the Secure Connectivity System
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implements to schedule and budget preparatory mission concepts, system studies and technology development activities funded by the E3P for all ESA exploration destinations, including LEO, cis-lunar space, the