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programme and elements or projects of commercialisation-related activities across ESA Directorates as required. You will also promote synergies across programmes to maximise impact and efficiency
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tailored development opportunities, including participation in technical and key skills training courses. Furthermore, there is a mobility component to the Junior Professional Programme that can be either
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Security Assurance Team, providing matrix support to specific space programmes/projects in order to: develop and maintain an independent, high‑level security risk analysis and threat assessment to assess
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. The Payload Validation Section is responsible for conducting laboratory-based payload element validation activities, with an emphasis on imaging focal plane technologies, to provide support for the development
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and deploying AI techniques in space assets to support the analysis of data directly on board, minimising the time required to extract insights and minimising the downlink of large amounts of data. AI
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may include: contributing to the end-to-end management of activities, including the preparation, implementation, monitoring and analysis of resource and activity plans (short, medium and long term
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valuable. Familiarity with MLOps software concepts (model/dataset integration, pipeline automation). A valuable asset: basic understanding of physical/chemical data metrics (e.g., spectral analysis
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of the data analysis and curation part of the PANGAEA analytical toolset. Working alongside Machine Learning developers, you will collect, organise, and evaluate analytical data to ensure training datasets meet
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Readiness Internship in Space Exploration Under the supervision of the HRE Data Lab Lead, you will: perform exploratory data analysis and metadata tagging on heterogeneous datasets from past and current
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with artificial intelligence-assisted tools for literature screening, document analysis, summarisation, text mining or knowledge organisation would be an asset, together with the ability to use