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, the candidate (M/F) will isolate and culture mammalian cells and will be responsible for bioinformatic analysis of data and management of the transcriptomic platform (inventory of reagents, ordering and
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avian influenza epidemic. The postdoc will publish their work in peer-reviewed journals and present at conferences. - Bioinformatics - Data analysis - Statistical and mathematical modeling
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and metabolic analyses - Microscopy, flow cytometry - Metagenomics/ qPCR - Bioinformatics/ analysis of DNA sequencing data - Analytical chemistry; isotopic methods - Statistical analyses - Writing
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. The main tasks will be: Analyse through bioinformatics patient -omics data to search altered signalling circuits and to validate their relevance across patient subgroups. Biologically assess effectiveness
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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Ph.D. in Bioinformatics, Population Genetics, or Statistical Genomics and a first post-doc experience. Strong experience in next-generation sequencing (NGS) analysis in a Cloud computing environment is
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-omics technologies; Background in molecular biology and genome editing (e.g. CRISPR-Cas9); Mouse license (or willingness to get one) is desirable; Experience in bioinformatics and analysis of NGS
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bioinformatic analysis would be a valuable asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7592-JULDUM-010/Default.aspx Work Location(s) Number of offers available1Company
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cell biology experiments (cell culture, transfection, genome editing, etc.) • Preparing libraries for high-throughput sequencing (RNA-seq, Nanopore sequencing, etc.) and using bioinformatics tools
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test in vitro research protocols to study the mechanisms of muscle cell differentiation - Conduct a research project to study myogenic trajectories using bioinformatics. Analyze single-cell RNA-seq and