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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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scientist to study the human-specific genetic mechanisms of development and function of cortical neurons. Join us to undertake a highly interdisciplinary project focusing on a long-standing and fascinating
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also opens new avenues for the design of climate-resilient crops. You will apply AI strategies to learn the regulatory syntax encoded by the Arabidopsis genome using single-cell transcript data as
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record in exploring urology‑relevant sensory mechanisms, with translational relevance for conditions such as chronic pain, bladder dysfunction, and other urinary tract disorders. The urinary bladder plays
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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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: https://cbd.sites.vib.be/en/technology Joris de Wit lab: https://dewitlab.sites.vib.be/en Anthony Holtmaat lab: https://neurocenter-unige.ch/research-groups/anthony-holtmaat/
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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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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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving