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, linking climate data and material behaviour across multiple scales. Particular attention will be paid to how environmental factors accelerate damage, affect healing processes, and alter material properties
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 25 days ago
Infrastructure? No Offer Description A competition is open for the attribution of 1 employment contract for a Junior Researcher as part of the project “X-IAS - Investigating the Cumulative Effects of Multiple
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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to identify priorities for flank monitoring and for the development of site-specific volcanic-tsunami hazard management plans, and to recognise onshore and offshore knowledge gaps. Working with hazard
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complementing scientific skills with personal and entrepreneurial skills, including communication to various audiences, career development, intellectual property, and startup funding. The doctoral candidates will
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Department of Geography, Planning and International Development Studies. The physical impact of climate change cuts across almost every social and institutional domain. One key domain is the field of housing
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with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities for the development of scientific and
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GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root system Designing and implementing novel inversion algorithms for GPR and EMI data Identifying links between
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study the water imbibition in hierarchically porous Si?based material systems across multiple length and time scales. These systems can manipulate fluid transport through the tailoring of their porosity
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monitoring. To address these limitations, the proposed research will integrate UAV-based imaging, satellite remote sensing, and AI-supported classification workflows to quantify lichen distribution at multiple