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of the team Extensive and excellent training for cryo-EM Dedicated new cell culture facility for adherent or suspension culture of mammalian cells State of the art systems for purification and analysis
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in analysis of single-cell and spatial data. Key Responsibilities Collaborate with PhD students, postdoctoral researchers and other technicians. Analyze and integrate single-cell and spatial data
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-edge technologies for next generation sequencing. Our user base consists of both VIB and non-VIB scientists throughout Europe. Key applications are gene expression analysis, whole genome sequencing
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clinically relevant reproductive research, in close collaboration with a fertility clinic in Brussels. Research project A large fraction of male-factor infertility remains unexplained, in part due to our
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to join an ERC-funded project in the Dendooven Lab focused on the sperm centrosome and its role in early embryonic divisions and unexplained male-factor infertility. Research project While the sperm
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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analysis across experimental models and patient-derived specimens Extension of these observations to clinical samples from patients with systemic amyloidosis, including ATTR and AL amyloidosis
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and propose meaningful and testable hypotheses, grounded in disease biology. Perform end‑to‑end processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell