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Climate Center network. Your job We seek a PhD researcher to conduct high-quality economic research on water-resilient landscapes, with a focus on the economic assessment of Nature-based Solutions (NbS
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regular seminars, international visitors, and active participation in international research networks. Recently, the group organised and hosted ESRA25, the European Survey Research Association conference
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to enroll in the graduate training programme of e.g. the Netherlands Graduate Research School of Science, Technology, and Modern Culture (WTMC), the Sustainability Transitions Research Network (STRN
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research networks. Recently, the group organised and hosted ESRA25, the European Survey Research Association conference, which is the largest international conference in the field of survey methodology in
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), the Sustainability Transitions Research Network (STRN) or the European Forum for Studies of Policies for Research and Innovation (EUSPRI). Where to apply Website https://www.academictransfer.com/en/jobs/357988/phd
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collaboration with societal stakeholders, ranging from policy actors (ministries, provinces) and intermediaries (e.g. network organizations). Using interviews, workshops and observations, you will uncover how
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of research); has experience with large-scale, complex data sets and advanced statistical methods; enjoys doing research and reporting the results in scientific articles; want to share scientific knowledge with
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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infrastructures, healthy urban living, urban inequalities and diversities, transnational mobilities, economic resilience and networks and flows in and between urban regions. For our NWO Cooperation Indonesia
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata