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Münster), the newly established research group of Dr. Mariano Malamud is investigating the role of inhibitory receptors in the regulation of chronic inflammatory conditions. Inhibitory receptors
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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Description About us LMU Munich is one of Europe’s leading research institutions. Scientists from all over the world encounter excellent conditions for their work in their own research field and in
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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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these results to initiate a model assessing the potential impacts of the mussel on the functioning of Lake Geneva. Most of the project team is based in Thonon-les-Bains at INRAe's hydrobiological station. The PhD
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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Engineering (KPE) for more accurate remaining lifetime predictions. This PhD project focuses on developing a systematic and future-proof framework for pavement lifetime prediction, primarily in Dutch conditions
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electrolysis and fuel cells (SOEC and SOFC). By combining numerical modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data