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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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experimental models to improve our understanding of EBV-driven mechanisms involved in multiple sclerosis. Main responsibilities and duties: Perform the phenotypic and molecular characterisation of EBV-infected B
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Computer science » Other Engineering » Control engineering Engineering » Systems engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Researcher Profile Recognised Researcher
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samples from patients with multiple sclerosis and experimental mouse models. Conduct molecular and cellular biology experiments, including nucleic acid extraction, qPCR, chromatin profiling and
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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-fidelity modeling approaches combining simulations of different fidelity levels, ranging from RANS calculations to high-fidelity LES, possibly associated with various levels of geometric or physical
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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properties of aquatic sediments control the formation, growth, and migration of methane gas bubbles. Laboratory experiments will be closely linked with innovative field measurements and modelling efforts
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strong command of one or more of the following areas: CRISPR technology, AAV engineering/production, animal models, primary cell/tissue culturing, high-throughput in vivo/in vitro genetic/pharmacological
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis