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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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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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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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, 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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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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. Job Description Project information The MOF2H2 project aims to develop a world-record efficiency for sun-driven clean hydrogen production, reaching 5% solar-to-hydrogen efficiency, using metal-organic
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element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop
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conflicting information, using methods from macroeconomic, environmental, and nutritional modelling. This project will develop and implement innovative methods to couple food system actor data on consumers and