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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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-throughput sequencing techniques and associated bioinformatic data analysis skills. High-throughput sequencing is state-of-the-art technique in characterizing human cell line models to understand perturbations
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, informatics, bioinformatics, biology or a similar field and some years of postdoc experience Profound experience with analytical and universal programming languages Evidence for leadership skills Very good
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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offer: Room to bring and develop your own ideas Integration in a cooperative, experienced and highly motivated team Support by technical assistance and the in-house Bioinformatics, IT and Database
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biological analyses of microbial communities in livestock slurry supporting laboratory slurry tank experiments bioinformatic analyses of large-scale genomic and metagenomic sequence data investigation