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place RNA-RNA contacts within the broader context of ribonucleoprotein regulation. These data-driven approaches will be complemented by novel computational developments designed to improve interaction
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mechanics and propulsion, for which the AEROSQIN project constitutes a perfect framework. The candidate will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice
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: Familiarity with principles of 3D Science. Experience as a secondary science teacher. Experience with qualitative educational research. Excellent verbal and written skills. Presentation skills. Analytical
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reshape the structure and function of the epigenome. Over the past years, we have shown that remodeling the chromatin 3D structure is a key driver of tumor development and progression and demonstrated how
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the impact of persistent chemical contaminants on immune tolerance mechanisms in type 1 diabetes using 3D models based on perinatal stem cells and human pancreatic islets" Type 1 diabetes (T1D) is an
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for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium
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of machine learning models. · Experience with statistical analysis, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing
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the cellular crosstalk and basic molecular mechanisms during lung repair and disease. We utilize in vivo mouse genetics, live -imaging, 3D organoids, functional screening, and next generation sequencing
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the scope of these missions, the candidate will be expected to: - Produce granular samples bonded by a solidified foam, using different types of binders and grains. - Implement 3D imaging techniques (X-ray
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) analysis of thermal events, subsidence, as well as modelling and production of H₂ in high-temperature contexts (WP2); 3) development of 3D sedimentary basin models integrating these data, and restore