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knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
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. You will join our large team of about 30 researchers that focuses on the molecular aspects of infection of corona-, influenza- and picornaviruses. We offer a challenging position in a dynamic and
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decarbonisation of the energy system requires the large-scale expansion of renewable energy sources for electricity generation, coupled with the electrification of end-use sectors such as space heating and cooling
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been protected from storms by large storm surge barriers such as the Oosterschelde and the Maeslant barriers. But: what is the role of these barriers in the future? As a PhD candidate in this project
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(Computational) Social Sciences, Data Science, or a related discipline (e.g., sociology or human geography) by the start of the position; has proven experience in working with large datasets and quantitative
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, like creating parks, have shown benefits, yet large-scale implementation is often hindered by spatial constraints. What if we could harness the untapped potential of streetscapes to (re)design impactful
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knowledge in NMR is a big plus for the positions. As we use a combination of methods to gauge the molecular action of drugs, being a strong team player is very important for the positions. Our offer A job for
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in