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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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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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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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machine learning approaches for multimodal data integration and cis-regulatory network reconstruction. We are looking for a talented and highly motivated scientist for a postdoctoral position in our lab