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the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Supported by single-cell profiling and predictive artificial intelligence models
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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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, EMBO, or National funding organizations). Tentative start date: Fall 2025 Submit your application through the VIB application tool. The call will remain open until a suitable candidate is identified
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and invited for interviews. The position remains open until a suitable candidate is found. For further information and questions, please send an email to Roosmarijn Vandenbroucke .
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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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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