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towards more sustainable trajectories and enriches the post-growth debate in spatial planning. Under the guidance of senior members of the project, based at Utrecht University, the University of Bern
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational geometry is the area within algorithms research dealing with the design and analysis
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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variety of case studies also allows studying diverging trends, e.g. paying attention to both population growth and decline. The analysis will build upon recent detailed spatially explicit data developed by
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the Department of Human Geography and Spatial Planning (max. 10% of the appointment). Where to apply Website https://www.academictransfer.com/en/jobs/358070/phd-the-urban-ocean-nexus-towar… Requirements Specific
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
material strongly influences microbial viability, colonization efficiency, and spatial distribution in the root zone. A systematic evaluation of inoculum formulation, carrier materials, and ecological
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background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
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starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
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vulnerable regions. What you’ll do – Observational Analysis You will unravel the fingerprints of storms on the lake by analyzing how rain, radiation and cloudiness modulate air–lake fluxes and surface