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causing fluid leakage and metastasis. We are especially interested in the regulation of endothelial cell-cell junctions, and signaling by endothelial growth factor and cell adhesion receptors. For more
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-PCR, microscopy and computational analysis skills (such as RNAseq, sc-RNseq analysis) are considered advantageous. The applicant should have the ability to work productively both independently and as
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metabolism or biomedicine, including the analysis of large-scale structured or unstructured health or biological data, such as electronic health records or biobank datasets, again ideally with publications
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. Additional assets: Work experience in data analytics with large datasets. Advanced statistical modelling understanding and experience (e.g. multivariable regression modelling, advanced survival analysis
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field experiments, coordinating sample collection, performing data analysis, and preparing scientific publications together with other researchers working in the project. The core dataset for the doctoral
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contribute to several aspects of the project, including the analysis of EUV observations (both on-disk and off-limb) and in-situ measurements, modeling of coronal magnetic fields to map magnetic connectivity
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analysis services to life scientists, with a focus on single-cell, spatial and multiomics data. You will work closely with researchers, provide support through consultation and training, and contribute
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of emotions in shaping religious practices, identities and groups in Reformation Germany. The analysis is based on a broad variety of historical sources (archival, printed and edited) by Protestant rulers
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of emotions in shaping religious practices, identities and groups in Reformation Germany. The analysis is based on a broad variety of historical sources (archival, printed and edited) by Protestant rulers
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.0c02887 ). We are looking for a motivated student with keen interest towards experimental research and applications of trace gas analysis. An optimal candidate should have prior experience with optical