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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
with explainable AI (e.g., SHAP) Experience with high-performance computing and software containers Experience with software development tools (e.g., git, Nextflow) We offer The VIB-UGent
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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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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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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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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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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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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
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collaborations and access to centralized facilities with expertise in genomics, functional genomics and cell biology, cutting-edge microscopy, flow cytometry, technology development, and bioinformatics. VIB
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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