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Schoonjans (Pediatric Neurology Department UZA) are seeking a highly motivated PhD student to work on clinical data analyses and multi-omics approaches in the rare genetic neurodevelopmental syndrome, STXBP1
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addition to our expertise in metagenomic analysis and clinical experience, the lab also boasts state-of-the-art facilities dedicated to the cultivation and analysis of colon bacteria. This infrastructure has become
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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on cancer metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as
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experience, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system