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Field
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communication links, as well as at system, subsystem, element and equipment level. It covers the missions from the study phase to the definition of requirements, design, development, security integration
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track record in one of the abovementioned fields. You have a strong background in quantitative empirical data analysis methods, such as econometrics, statistics and machine learning. You have completed
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advanced data analysis techniques with AI methods and techniques. Affinity with microbiology (virus; bacteria) and host response (immunology), health and welfare. You also possess: A MSc degree with
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, project-based innovation, and specialist support come together. Among other things, the teams offer access to HPC and HTC environments, storage, processing and analysis capacity for large-scale datasets
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/ Health Monitoring Fluid Structure Interaction (e. g. Sloshing) Launcher Coupled Dynamic Analysis Demisability Re-Usability Thermo-Elastic High Stability / High Precision Structures Active / Adaptive
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support skills: You have experience developing and delivering training programmes, ideally in reproducible data analysis and open‑source software. Collaboration and initiative: You are a proactive
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segments and communication links, as well as at system, subsystem, element and equipment level. It covers the missions from the study phase to the definition of requirements, design, development, security
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analytical and numerical analysis. Moreover, it is responsible for research and development (R&D) activities in the domain of EMC and harness for space applications. Duties Reporting to the Head of Section and
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, partners and potential collaborators, demonstrating progress in secure HPC workflows, federated analysis, metadata interoperability and the integration of AI-based analytical tools. Represent ODISSEI in
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security component Experience in managing and monitoring industrial activities (interfaces with industry, reviews, etc.) Experience of system performance modelling and simulation, including validation with