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and analysis, mouse monitoring, drug administration, and tissue collection and processing, as well as a range of molecular biology techniques such as qPCR, Western blotting, ELISA, and
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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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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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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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artificial intelligence, microelectronics and nanoscience, to microfluidics, single-cell and molecular analysis, functional genomics and cell biology in human cells and animal models. Discover our environment
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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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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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design, optimization, and triage Conduct in-depth SAR analysis, combining experimental and in silico data towards the design of therapeutics Apply and supervise structure- and ligand-based design
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will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human tissue studies. The candidate holds a Master degree in biomedical sciences, medicine