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a crucial role in storing and releasing urine, controlled by complex neural pathways. As the bladder fills, sensory signals arise in its wall and inform the central nervous system about bladder
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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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project focusing on a long-standing and fascinating question : « what makes our brain cells human ? » (see our recent work : Hecker et al. Science 2025; Libé-Philippot et al. Cell 2023; Vanderhaeghen and
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. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with the best profile (project proposal & CV
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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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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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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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signalling pathways. Currently, the group explores how GSK3-like kinases, key negative regulators of brassinosteroid signalling, achieve signalling specificity through scaffold proteins using single-cell, cell
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in pre-processing and processing large biomedical datasets, including bulk and single-cell (epi)genomics and transcriptomics data using high-performance computing. You have excellent written and oral