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independent research drive. Experience in working with mouse models (FELASA B or C required) Experience with advanced imaging/omics and CRISPR/Cas9 technology is a plus. Team-oriented, innovative, and motivated
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to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
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, biology, chemistry, engineering or a related field Should be creative, enthusiastic, critically thinking, and motivated Ready to work against stringent deadlines Enjoys teamwork and has excellent oral and
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training data. You will unravel the cis-regulatory code controlling context-dependent gene expression and use this information to design synthetic promoters. You will train and evaluate predictive models in
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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to join our team. We are an international and multidisciplinary team, integrating research from genetics, epigenetics, transcriptomics, proteomics, biomarker research, and cell models. Our lab is at
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intervention trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences