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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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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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: In vitro and/or in vivo phage display; Cloning, engineering, expression, purification and characterization of VHHs. We invite applications from dynamic individuals with a strong drive for innovation
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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
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question: « what makes our brain human ? » (Vanderhaeghen and Polleux, Nat. Rev. Neurosci. 2023). We combine cutting-edge approaches such as pluripotent stem cell models of human corticogenesis, human-mouse