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live-cell imaging, we can now explore hormone regulation at unprecedented single-cell resolution. Using these tools, we have observed dynamic fluctuations in brassinosteroid signalling throughout
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the developmental programs that shape inhibitory circuits in the brain. We use various interdisciplinary techniques such as mouse genetics, high content imaging, single cell RNA sequencing, and spatial
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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project that combines cutting-edge approaches including state-of-the-art imaging techniques, pluripotent stem cell models, in vivo mouse models of neurological disorders, drug (brain) delivery and nanobody
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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and
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of the leading flow cytometry cores in Europe and provides services to VIB research groups, academic institutions, and industrial partners. Our facility has a broad range of (imaging) flow cytometer analyzers
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Knowledgeable RGB, thermal and hyperspectral camera’s Interest in image-based plant phenotyping Key personal characteristics You are enthusiastic and curious about scientific research You like learning new
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biology, and proteomics approaches. The Advanced Live Cell Imaging group (https:www//vandammelab.be) studies endomembrane trafficking in Arabidopsis, with a strong focus on clathrin-mediated endocytosis. In
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/AI, imaging, etc; Access to VIB’s broad internal training, encompassing specialist training courses and training in transferable skills. A work environment that highly values employee well-being and