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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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mathematics, numerical oriented geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling large
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experimental datasets produced by the accompanying PhD project on thermo-hydraulic experiments. This close collaboration provides a unique opportunity to connect experimental and numerical research within one
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experience with qualitative research methods, such as interviews, ethnography, and/or document analysis; Can do basic numerical analysis through interpreting numbers and quantitative logics; Demonstrates
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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research
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University is home to numerous world-class research groups and institutes, and maintains strong connections with leading research organizations. CML is part of the Faculty of Science at Leiden University
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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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-waiting – were successful spies in seventeenth-century England. This is what Nadine Akkerman describes in her book Invisible Agents, the first analysis of the role of female spies in the seventeenth century