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Field
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) and functional characterization — is mandatory for this position. The following additional skills would be an advantage: - RIP-seq, CLIP/eCLIP-seq, or related RNA–protein/RNA interaction mapping
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-seq, single-cell RNA-seq, proteomics, metabolomics, ATAC-seq, ChIP-seq, spatial transcriptomics, spatial proteomics, spatial metabolomics and imaging mass cytometry (CyTOF). A major emphasis will be
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research programme. You’ll work with scientists across the project to analyse and integrate complex genomic, transcriptomic and epigenetic datasets, including bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq
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; hospitals; health research institutes; universities; or public research centers will be considered a plus Proven practical experience in several of the following areas will be considered: RNA-seq analysis
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multidisciplinary investigators, and establish an independent research direction. As a successful candidate you will: Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets
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combination of next generation sequencing (e.g. short and long read RNA-seq, ChIP-seq, eCLIP) techniques, molecular biology as well as in vivo and in vitro models of Influenza A infection. The selected
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of additional datasets (RNA-seq, ChIP-seq, ATAC-seq, protein interactome, etc.) to investigate the impact of lamin mutations on spatial genome organization in lipodystrophy patient-derived cells. You will be
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: Design and execute experiments using primary human endothelial cells. Prepare and QC sequencing libraries including bulk RNA-seq, small RNA-seq, ATAC-seq, and single-cell libraries. Perform genome-scale
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apply DNA and RNA library preparation methodologies such as WGS, RNA-seq, ATAC-seq and EM-seq. Support bioinformatics projects through data management, quality control, analysis, reporting and preparation
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appointment. Candidate’s CV must state qualifications or if pending upon submission. Preferred Qualifications: Proven experience analyzing scRNA-seq, scATAC-seq, spatial-RNA-seq or other genomic data. Proven