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machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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surface-attached polymer brushes containing zwitterionic and electrolytic side groups. The observed piezo- and pyroelectric properties are attributed to a complex interplay of the non-uniform segment