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of asphalt mixtures exposed to climate-induced stresses such as temperature fluctuations, moisture variations, and UV radiation. The study will involve both laboratory experiments and numerical modelling
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Develop models to trace global material and financial flows, uncover bottlenecks, and assess how resource and investment constraints shape pathways to a feasible clean energy transition. Job
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to develop monitoring and modelling tools
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Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping climate resilient policies
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and biomedical translation. Your job Often, animal tests are not a good model for human application; they are time-consuming, expensive, and cause animal suffering. To continue improving the health
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images
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like to know more about the different phases within the PhD trajectory? You can read more about this on this page . As part of this project, you will use innovative neuronal cell models and advanced
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(UvA) is recruiting a postdoctoral researcher in AI for fluid mechanics. This postdoc is part of an NWO-funded project on accelerating computational modelling of rarefied (i.e. highly dilute gases
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methane. Improved scientific knowledge is needed to design the most efficient climate mitigation policy. You join the development of the global atmospheric inverse modeling system TM5mp-4DVAR, that is used
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to model the interactions between roots, microbes, and minerals that govern these processes? We are looking for a postdoc within the NWA project “Harnessing root-microbe-mineral interactions for climate