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, and community health modeling Hub (uTECH Hub), and the Blockchain powered Climate Actions in Transportation (CAT-Chain) ecosystems. This position is ideal for candidates interested in research–practice
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on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
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hydro-climatic conditions govern vegetation behaviour, and how vegetation impairs the functioning of drainage and water-management assets. Using advanced geospatial modelling, machine learning and digital
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observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research questions within the thematic scope of Antarctic ice shelf interactions Analyse observational
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. The main objective of the scientific activities of DC 11 will be the implementation of selected climate-related equations to LCA modelling frameworks. After an opportune selection of the equations, they will
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water-quality modeling, and climate science with sustainable, community-based design to address pressing environmental issues such as climate change impacts, coastal hazards, and equitable access to green
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management, and enhance ecosystem services outcomes. The researcher will also have ample opportunity to collaborate on complementary projects focused on mapping, modeling, and advancing agricultural
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Global climate change and pollution are major threats to ecosystem integrity and biodiversity, and