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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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responsibilities: - implement, develop and extend methods for processing and analyzing single-cell RNAseq and protein profiles (CyTOF) - develop methods for second level analyses e.g. interaction networks
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cooperation with the chair holder and the entire team with the greatest possible freedom • Excellent English language skills • Scientific curiosity and result-oriented, creative, and independent working methods
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