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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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the climate system and have all been identified as large scale tipping elements, albeit on very different time scales. While for each of these tipping elements critical thresholds remain matter of active
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contribute to the structural characterization of NS3–inhibitor complexes Process and analyze cryo-EM data using established computational pipelines and structural modeling tools Apply, or develop expertise in
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of the interventions, as they are team efforts carried out by a large team of scholars and curators. You will be primarily responsible for incorporating a critical heritage and museology perspective. You will assist in
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as intellectually challenging as it is relevant! Your job Large volumes of green power and green hydrogen are needed to green industry and the economy as a whole. A major uncertainty concerns the
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potential large-scale climate repercussions. Even more so since the AMOC brings CO2 from the surface to the deep ocean during deepwater formation (physical pump), and variations in the AMOC strength will
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experience in programming and handling large (climatological) datasets. You are interested in the fundamental physical processes in Earth’s atmosphere and climate change; You are a team player. You have
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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