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: railway/bridge engineering, structural dynamics, vibration analysis, structural health monitoring, data science or related fields. Programming skills in one or more scientific computing environments
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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resulting structural responses. The health condition of railway tracks on bridges will then be characterised through the analysis of vibration responses generated during train passages. With every train
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in domains where observations are indirect, incomplete, expensive, or noisy, and where reliable models must respect the structure of the underlying physical system. For example, in subsurface
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, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming skills in one or more scientific computing environments, such as Python
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competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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of site-reliability engineering (SRE) and cybersecurity. In doing so, you will support ESA’s ability to continue service delivery in the presence of disruptions and to reduce recovery times following
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familiarity with tools or libraries used for machine learning, data analysis, semantic modelling, knowledge graphs, or AI system development. Experience with data processing, data structuring, or working with
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, what structural or demographic patterns the model captures, and when its decisions are reliable enough to support scientific interpretation or decision-making. At the same time, explanations and learned