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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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networks Analyze and interpret multiome datasets (e.g., transcriptomics, epigenomics and related modalities) Apply advanced computational and statistical methods for integrative analysis of multi-layer
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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, colloquia and conferences) Active involvement in research networks (e. g. DZD) Skills and Requirements Excellent master and doctoral degree in neuroscience, biochemistry, biology or any related discipline
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research