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modeling of historical controls, as well as machine learning, data science, and epidemiological studies based on large SCI datasets. This is an excellent opportunity to contribute to translational research
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collaborative approach involving multiple doctoral and postdoctoral researchers on material surface development, in vivo small-animal studies, in vitro organotypic bone models and in vivo large animal. The
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. Our group and research activities are interdisciplinary and collaborative with a very motivated team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging
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cryo-electron and light microscopy, gene editing, next-generation sequencing, proteomics and reconstitution of large protein-RNA complexes from recombinant proteins. Using these tools the research group
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, large government agencies, but when new development schemes are making space mission implementation and access to space more common. LIFE has reached a critical point to advance the project to the next
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generation and aircraft engines. The position is financially supported by an ERC Synergy Grant (project HYROPE). The small-scale turbulence-chemistry interaction, the large-scale hydrodynamic and
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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information and weather forecasts, thereby contributing sustainably to the well-being of the population and providing benefits to the economy, science, and the environment. In view of improving the way
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, the response to large deformations remains poorly understood. In particular, there is a lack of systematic investigation of the nonlinear regime, where externally applied loads can induce stress
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implications for real-world decarbonation, and how various stakeholders (investors, lenders, insurers) integrate this information into their investment and lending decisions, including an asset-pricing analysis