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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues
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. The impact of microglia during the progression of neuropathology is dictated by their subtype composition – as different subsets will lead to different functional outcomes. Microglia transcriptional
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones
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the somatosensory cortex display striking differences in their synaptic properties, even when intermingled on the same cortical dendrite. This project will explore the molecular mechanisms that mediate
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to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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variability in stomatal responses, even in a single leaf under stress conditions where subsets of stomata close while others remain open. Currently, there are no markers to distinguish between these different
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of (epi-)genomic sequencing data generated on biofluids from cancer patients. You will develop novel strategies to integrate the different omics data layers. You will validate results by comparing the data
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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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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