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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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of the team Extensive and excellent training for cryo-EM Dedicated new cell culture facility for adherent or suspension culture of mammalian cells State of the art systems for purification and analysis
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. Researchers eligible for an FWO or MSCA fellowship are encouraged to apply. Key Responsibilities Lead and conduct the processing and statistical analysis of large-scale short- and long-read sequencing
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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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. 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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with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning
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, perform and document experiments in an Electronic Lab Notebook (ELN) Optional knowledge Golden Gate vector cloning Analysis of CRISPR/Cas9 edited plants Experience working with cereals (maize, wheat
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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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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