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regressions, Bayesian analyses). You preferably have experience supervising and/or teaching students. You preferably have knowledge of swarm robotics and/or deep learning artificial neural networks (e.g. CNN
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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, deliverable documents, and present your project updates during internal consortium meetings and external review meetings. You will also represent your work package within the consortium, not only in formal
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, the adaptation of the ECSS NG to the ESA Mission Classification pre- tailoring activity (both for PA/QA and engineering disciplines) and updating pre-tailoring statistics accordingly. actively contributing