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for the benefit of society through scientific excellence, innovation, and collaboration. VIB’s Data Core provides state-of-the-art data and IT services that empower life sciences research across the institute
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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to the lack of proper techniques to study them, yet has strong translational potential. With new technologies, and the data that you will analyze, we finally have the opportunity to unlock their true potential
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discovery and innovation in biotechnology, genomics, and computational biology. At the VIB Data Core, we empower scientists by delivering advanced infrastructure and services that tackle complex challenges in
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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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biological data. These packages are actively used throughout the VIB institute and by the broader research community as well. As a software developer, you will be responsible for maintaining and implementing
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malignancies. What you will do As a postdoctoral researcher, you will: Analyse multiomic long-read and single-cell data from patient samples to develop novel biological insights Contribute to recently funded
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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of meeting minutes and agreed actions. Executive support to the Managing Directors Act as a central coordination point for information flows to and from the Managing Directors, in close collaboration with
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data