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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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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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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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detection, segmentation, and quantification of diseases such as cancer, the generation of novel representations of pathology data for further processing, or the discovery of virtual biomarkers for patients
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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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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with