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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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the end of operations; they develop the science operation systems for the missions and conduct the mission science operations in flight, and archive and curate the mission data during operations and beyond
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that can inform and enable such concepts, for example in autonomous operations, scientific data analysis or intelligent payloads; benefit from, and contribute to, the technology and engineering expertise
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technology implementations (e.g. ML models) and of high-level products; contributing to the development and curation of open data sets and tools enabling the community to develop its own AI for applications
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return; supporting the concept of open science by making the link between the open source processors, open validation tools, open reference data and the open platform: the Mission Algorithm and Analysis
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be involved in the scientific activities of the Science Section within at least one of the following thematic priorities (please indicate your preferred theme in your proposal). Data-driven and AI
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, bio-inspired engineering and related communities, and, where appropriate, co-design studies with external partners to obtain the data needed to calibrate and validate models; monitor and revisit
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; interface with scientific and engineering data, where appropriate, to test, calibrate and benchmark proposed methods, and to guide the development of mathematically grounded solutions. As an ACT researcher
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becoming part of mainstream space engineering, but might prove disruptive in the future. The team operates to high academic standards, publishes in peer-reviewed journals and conferences, and has built up a