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Professor at one of the partner universities, you will be expected to (continue to) build your research program with your own independent research group, and to set up or consolidate a strong network with
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environment (with English as main language) State-of-the-art infrastructure A varied work schedule, with significant autonomy over how you plan your day An ability to progress in your work, taking on more
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and motivation. Ideal candidates will possess critical thinking abilities, excellent oral and written communication skills in English, and a collaborative mindset. Additionally, they should demonstrate
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sciences cluster in Flanders. The VIB Technologies program constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and innovative
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Description We are looking for a flow cytometry expert to join an exciting research program in the Pasciuto lab at VIB-UAntwerp Center for Molecular Neurology Our lab studies the cellular and
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on innovation and business. VIB is committed to driving the growth of the life sciences cluster in Flanders. The VIB Technologies program is the institute's research infrastructure, offering access
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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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have experience in modeling cell-cell communication, the study of gene expression regulation, the analysis of multiplexed CRISPR screens. You have strong programming skills in languages such as
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collaboration with the candidate, a detailed research plan will be drafted aiming to unravel mutational robustness and evolvability in Escherichia coli. The work will involve genome editing (CRISPR), genetics
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets