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injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling and reduction
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epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes
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to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological knowledge and experimental data – to understand
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fire weather index and burned area in ERA5 reanalysis over the Mediterranean, (2) these conditions will be tested in CMIP6 models, to (i) check whether the models can reproduce such conditions and (ii
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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tendon models ("tendon-on-chip"), this will provide a powerful system to investigate the complex mechanobiology of tendons. Particular focus will be given to neurotendinous crosstalk and its
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ In the Environmental Sustainability Assessment and Circularity
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the rearing of young to the availability of specific sea-ice habitats as a birthing and lactating platform. The success of these strategies critically relies on the timing of behavior to match the narrow summer
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what