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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as demonstrated by peer-reviewed publications in international journals. Having good
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Overview The group of Specialized Metabolism , led by Prof. Alain Goossens at the VIB-UGent Center for Plant Systems Biology, and the metabolic engineering research group, led by Prof. Marjan De Mey
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. The Brassinosteroid group (https://www.russinovalab.be) studies the function of brassinosteroid hormones in stomatal development, focusing on mechanisms of signal integration between brassinosteroid and stomatal
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Biology Analysis of cross-species/-ecotype co-expression and gene regulatory networks Study of molecular mechanisms underlying how gene loss affects biological network rewiring
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universities. At our Center, researchers study the cellular mechanisms of health and disease in the central nervous system. Dr. Esther Klingler started her lab in 2023 within the VIB-KU Leuven Center for Brain
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: In vitro and/or in vivo phage display; Cloning, engineering, expression, purification and characterization of VHHs. We invite applications from dynamic individuals with a strong drive for innovation
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biopharmaceuticals. The research at CMB pushes the boundaries of biomolecular and bioinformatics research and engineering technologies. VIB.AI studies fundamental problems in biology by combining machine learning with
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single-cell and spatial multi-omics datasets. The primary focus of this role is to delve deeper into the molecular mechanisms driving intra-tumor heterogeneity, plasticity, and therapy resistance