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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since
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in January 2025. The overarching goal is to identify the key factors controlling microbe-mediated carbon storage in the ocean, with a focus on using model microbial systems in the lab. We specialize in
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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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the ocean, with a focus on using model microbial systems in the lab. VIB is an entrepreneurial non-profit research institute across 5 universities with a strong track record of translating scientific
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. Profile You hold a PhD in biomedical sciences, biotechnologies or related disciplines. You have spent at least 12 months of the three years prior to the start date as a postdoctoral scholarship holder
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collaborative projects within the lab and across the VIB community, contributing to lab meetings, journal clubs, and collaborative publications. Requirements PhD in immunology, neuroscience, neuroimmunology
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question: « what makes our brain human ? » (Vanderhaeghen and Polleux, Nat. Rev. Neurosci. 2023). We combine cutting-edge approaches such as pluripotent stem cell models of human corticogenesis, human-mouse
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving