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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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on monitoring complex, superposed deformation signals caused by deep subsurface processes (gas storage, production, and injection) and shallow processes (soil compaction, groundwater dynamics), using satellite
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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Administration or similar studies. A research master would be an advantage but not a prerequisite. Analytical and curious – You have a sharp eye for detail and enjoy exploring complex questions. Strong in
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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
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
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Research (TNO) and four universities of applied sciences. The complexity and scale of the climate crisis is overwhelming. Artistic practice and artistic research can open up new ways of understanding
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experiments, real-world contexts offer richer insights into the subtle, complex ways people ignore, exclude, or distance themselves from others. By examining ostracism as it naturally occurs – in workplaces
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata