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generated on liquid biopsies with bulk/single-cell/spatial omics data generated on the tumors. You will benchmark methods with state-of-the-art approaches. You will be involved in setting up the wet-lab
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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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in a multidisciplinary and multicultural scientific environment enjoys collaborating and sharing expertise is comfortable with performing studies on laboratory mice is expected to work independently
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