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and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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PhD candidate, you will join the Railway Engineering Section within the Department of Engineering Structures at the Faculty of Civil Engineering and Geosciences of TU Delft. You will work closely with
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the microbial nitrogen cycle for a more sustainable future. As a PhD candidate, you will combine experimental and computational approaches to uncover how microbial communities drive nitrogen transformations and
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Help decode the microbial nitrogen cycle for a more sustainable future. As a PhD candidate, you will combine experimental and computational approaches to uncover how microbial communities drive
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robust management of large traffic networks under all conditions. You have the most important role in this ambitious project as one of the young talents in our team. We have 2 PhD and one postdoc positions
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of the young talents in our team. We have 2 PhD and one postdoc positions, all of whom will be supervised by a highly experienced team of four (top) researchers in this field supported by a technician. You will
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15 Aug 2026 Job Information Organisation/Company Utrecht University Research Field Geosciences » Geology Geosciences » Hydrology Researcher Profile Recognised Researcher (R2) First Stage Researcher
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are poorly understood and not accounted for in current-generation hydrological models. The PhD research project will address these issues for more reliable hydrological predictions with a focus on the