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mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java
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tracking, reinforcement learning. Experience developing deep learning for real-time medical applications. Stay updated with the latest developments in AI and related fields. Up to date knowledge of AI/ML
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-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Experience developing deep learning for real-time medical applications. Stay updated with the latest developments in
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to have higher requirements then the legislator has defined, leading to recommendations and decisions if new technical safety standards are to be developed or existing ones need to be updated
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to recommendations and decisions if new technical safety standards are to be developed or existing ones need to be updated. Execution of these activities will take place in a multi-stakeholder setting to achieve a
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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
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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