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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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, multiple transcriptomics and genomics approaches, single-cell sequencing, and histocytometry) Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single-cell RNA
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy