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with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy). • You are a highly motivated scientist with the drive to develop
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For the team of the Chair of Energy Systems the following position is available Visiting Scientist for Reversible Solid Oxide Fuel Cells in the Future Laboratory Green Hydrogen (m/f/x) for the next possible date
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding
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contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of tropical and subtropical
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-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators. Furthermore, we aim
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of this include the creation of benchmark data sets for a wide range of application scenarios, as well as educational opportunities for interested scientists and expert workshops. Our aim is the democratization
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Employability Ranking, etc.). It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of