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Field
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skilled and motivated applicants for a PhD scholarship (DC12) focused on the development and validation of a modelling framework to support professionals to choose and advise foods, meals and diets with
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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filled. Concrete under high temperature is rarely subjected to simple uniaxial loading. In reality, structures such as nuclear systems, tunnels, underground transport infrastructure, and composite columns
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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Environmental Sciences, Environmental Engineering, Geophysical Sciences, Climate Change, or a closely related field, with specialized skills and/or expertise in climate adaptation, climate change modelling
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of benthic viruses in elemental cycling at different spatial and temporal scales. There will be emphasis on the distribution and composition of free viral communities and prophages, and the importance of phage
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sorption and co-precipitation processes, as well as the reversibility of these processes. Furthermore, the effects of heterogeneities in the mineral composition and distribution on radionuclide migration in
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Your Job: Determination of the lipid composition in human endothelial cells with and without oxidative stress Development of model membranes to mimic the endothelial membrane composition Analyzing
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modelling. Therefore, significant efforts are being devoted to understanding possible mechanisms and their effective modelling, with the aim of predicting transport/reaction characteristics of foam materials