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longitudinal data on PhD recipients with complementary sources such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will
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monitoring. Recent advances in cognitive SAR have demonstrated the potential of AI methods operating directly on raw or partially processed data for tasks such as learned focusing, adaptive compression
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planning, data acquisition, and satellite tasking in real time. The fellowship will investigate how mission planning can evolve from static scheduling to an adaptive, intelligence-driven process
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planetary protection: Liaise with European and international partners involved in planetary protection activities, studying the current scientific data available (i.e. datamining) and identify knowledge gaps
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complexity, the need for European sovereignty, and increasing demand for speed, data capacity, and artificial intelligence require research into radiation effects engineering of complex
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systems. Your work will bridge the gap between conventional deterministic safety assurance approaches and emerging data-driven and autonomous technologies, helping to define future ESA frameworks
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guidance and navigation, data-driven modelling of spacecraft and environmental dynamics, mission planning and operations, and on-board learning in resource-constrained environments. You are strongly
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mission data during operations and beyond. The main objective is to maximise the scientific return of the missions for the benefit of humankind. SCI-E and SCI-S also support research activities, which
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stickiness "careerSiteCompanyId" is used to send the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer
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data following ethical research practices; Experience publishing as lead author in international peer-reviewed journals; Excellent written and spoken command of English; working knowledge of one or