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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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group has assembled a large cohort of brain tissues (~1500) derived from cognitively healthy and diseased individuals spanning an age continuum to contrast with cognitively healthy centenarians. This
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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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/proteomics data is a strong asset Development of ShinyApps Experience with data management of large scale datasets Knowledge of cancer biology We offer Duration: full-time contract of one year with
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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
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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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to be fluent in reading, writing and speaking English and Dutch You are well-organized, structured and discrete Team player and eager to learn A science background is considered a big plus We offer Full