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in analysis of single-cell and spatial data. Key Responsibilities Collaborate with PhD students, postdoctoral researchers and other technicians. Analyze and integrate single-cell and spatial data
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yourself with the scientific subject matter Coordinate and lead incubating start-up projects from start till incorporation including Analyse patent portfolio, do competitive analysis/landscaping, identify
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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training in light and electron microscopy, as well as image processing and analysis. A dedicated team of microscopists supports the Ghent-based VIB research community, working closely with our sister
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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motion) Pose tracking and behavior segmentation with tools like DeepLabCut, MoSeq, and Kinect-based systems Longitudinal analysis of behavior from early postnatal to adolescent stages in
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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cortical neurons into mouse brain In vivo 2-photon Ca²⁺ imaging, visual plasticity paradigms, and behavioral analysis Transgenic mouse models combining SYNGAP1 mutations with humanized SRGAP2C
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lipidomics). With mass spectrometry as its core technology, the MEC excels in the comprehensive analysis of biochemical reactions in living cells and organisms. Equipped with state-of-the-art mass