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2023 as the 10th VIB center, with the core mission to study fundamental problems in biology by combining machine learning with in-depth knowledge of biological processes. We aim to work towards
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VIB is an entrepreneurial, non-profit research institute in life sciences, closely affiliated with the universities across Flanders. Our mission is to push the boundaries of scientific knowledge in life sciences, translating these insights and breakthroughs into real-world solutions for...
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We are looking for a highly motivated and talented electromechanical engineer to join our team at the VIB-UGent Center for Plant Systems Biology. The selected candidate will join the motivated
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in reporting, presentations, and cross-core quality tracking Contribute to technology implementation and pilot evaluation of new methods Your Profile PhD in molecular biology, genomics
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General info This vacancy concerns a position as ZAP with a research assignment in the research domain 'Perturbational Systems Biology'. Candidates must demonstrate scientific excellence based
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The VIB-UGent Center for Plant Systems Biology aims to gain insight into how plants grow and respond to their environment. Its scientists study how leaves and roots are formed, which microorganisms
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the team in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques
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candidate will contribute to our research on endothelial cell biology by supporting two key areas: (i) mouse colony maintenance and (ii) wet-lab experiments. In these roles, the candidate will work closely
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. Execute a variety of wet-lab experiments, including molecular biology techniques like PCR, qPCR, and Western blotting. Process mouse tissues (e.g. liver digestion and cell isolation), followed by downstream
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. Profile PhD/MSc/professional BSc in a relevant field (e.g. Biology, BioInformatics, Computational Biology). Minimum 5 years of experience with high parameter flow cytometry and FACS data analysis. Good