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cross-border component, such as how activities/facilities across the border in peripheral areas influence perceived accessibility of residents. This research involves the following components 1. How is
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populations. The University of Groningen is responsible for deploying both conventional and novel methods for data analysis to study the way that providers of services for vulnerable groups interact with
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who have a PhD in Economic Geography, Regional Science, Economics, or any other related discipline (with a strong quantitative social sciences component). a track record of working in suitable
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, and pilot innovative activities tailored towards vulnerable populations. The University of Groningen is responsible for deploying both conventional and novel methods for data analysis to study the way
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, irrigation, habitat provisioning, recreation, water supply, carbon & nutrient management. While traditional modeling methods have laid the groundwork for assessing ecosystem services,digital twins offer
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Nedersaksenlijn, which also aim to improve the interregional accessibility of rural areas. Moreover, we aim to include a cross-border component, such as how activities/facilities across the border in peripheral
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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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feedback loop, potentially contributing to this imbalance. Alongside warming, the input of organic carbon as well as the input of glacial dust, containing elements (among which rare earth metals), affects
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to an online textbook, intended for education. As the project also has an extensive societal relevance component, you are welcome to join in on activities for that as much as you please. You will be working in
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and