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and melt inclusions (MI) in volcanics from various plume localities and will use that data in geochemical and geophysical numerical modelling. The team will work on three main tasks: Improve
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rules directly from multicellular migration experiments. We therefore seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches
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, the biological mechanisms through which they damage the lungs remain largely unknown. In this PhD position you will work within the in vitro work package, where you will expose advanced human lung cell models
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the lungs remain largely unknown. In this PhD position you will work within the in vitro work package, where you will expose advanced human lung cell models to realistic mixtures of climate change-related
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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, performance and modeling of nanomaterials often for conversion, storage and more efficient use of energy. The institute provides fundamental knowledge for development of new technologies that are required
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal
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flow analysis (dMFA) models to quantify steel stocks, flows, scrap generation, and scrap quality across the EU27, including the tracking of key impurities and tramp elements throughout the steel life
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urban hydrometeorology, climate modelling, heat-health interactions, and water-sensitive urban design? Do you want to work on a high-impact, international project that translates urban hydrometeorological