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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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strong bioinformatics expertise and knowledge in programming languages and transcriptomic/multi-omic data analysis to help us unravel the complex interaction of cancer cells and their environments
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to the department's emanation of science in society and to the training of master students. For PhD students, this is an obligatory part of their doctoral training program. The position is immediately available
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Job description The VIB Center for Inflammation Research is part of the VIB Life Sciences institute and is connected to Ghent University. Our center focuses on the mechanisms driving infection and
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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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-notch computational biology and neurosciences. See more in selected references from our labs: Hecker et al. (2025) Science 387, eadp3957 Taskiran et al. (2024) Nature 626, 212–220 Libé-Philippot et al
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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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Overview The VIB-KU Leuven Center for Brain & Disease Research is part of the VIB Life Sciences Institute and is embedded within the KU Leuven, which ranks among the world’s top 50 universities
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spectral flow cytometry and microscopy (FELASA certificate required). Experience with -omic approaches and computational tools for data analysis is desirable. Solid publication record in peer-reviewed
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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