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starts from biological questions and challenges that are addressed using state-of-the-art and novel computational and AI strategies, through close interactions and iterations with biological experiments
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. Charlotte Scott and will work alongside 8 PhD students and 6 postdocs, 2 wet-lab technicians and 2 computational experts. This role involves working closely with the other members of the team on different
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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 pre-processing and processing large biomedical datasets, including bulk and single-cell (epi)genomics and transcriptomics data using high-performance computing. You have excellent written and oral
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to perform high standard research with cells and tissues of animal and human origin, both in BL1 and BL2 conditions. We provide this via a suite of instruments, high manufacturing standards of cell culture