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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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investigates inflammation in health and disease using cutting-edge exposure systems and advanced 2D and 3D cell models. In parallel, NanoSafety2 focuses on the toxicity assessment of particle emissions from
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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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consequences of mitochondrial dysfunction in patients with inherited disorders and in animal models of mitochondrial pathology. The goal is to uncover novel insights into the role of mitochondria in human
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animal model. However, small animal model findings are not always transferable to larger mammals or humans. The goal for the post-doc is to investigate how the tendon structure and mechanical function
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relevant subject. Experience working with statistical data analyses and mixed models. Merit: Knowledge of forage crop management. Knowledge of statistical analyses of experiments, mixed models, and
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environment with strong links to both industry and European collaborative projects. Project description You will lead the development of a system-level noise model for ducted fans and propellers, with
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primarily conducted using wild and domesticated bird models. The candidate will be responsible for establishing a knock-out model with reduced temperature sensitivity and using this model to experimentally
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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evolution, and further to modelling. Investigating transcriptional profile of lncRNA. It can be expression quantification, alternative splicing, start sites properties. Performing AI modeling and developing a