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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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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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spin-offs and start-ups, creating a natural home for researchers and their families. English is very widely spoken in the city and surrounding area. We are looking for a postdoctoral computational
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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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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation in Neurological Disorders lab (MIND, Prof. Renzo Mancuso) at the VIB–Center for Molecular Neurology are recruiting a postdoctoral researcher to establish next-generation...
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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