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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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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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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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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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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