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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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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing, training models, and the design of synthetic promoters
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a crucial role in storing and releasing urine, controlled by complex neural pathways. As the bladder fills, sensory signals arise in its wall and inform the central nervous system about bladder