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                @inserm.fr Requirements Research FieldBiological sciences » Biological engineeringEducation LevelPhD or equivalent Skills/Qualifications Main responsibilities: Bioinformatics, data indexing, large-scale 
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                of ancient DNA, particularly in the bioinformatic analysis of data generated by high-throughput sequencing technologies applied to ancient DNA characterization and whole-genome sequencing. They demonstrate a 
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                bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor "ecosystem" with a particular emphasis on epithelial cells 
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                experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs 
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                pediatrics. This mission will focus primarily on the bioinformatics and genomics component of the IBSoFACTo project. The work will be carried out in collaboration with a multidisciplinary team of specialists 
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                for data acquisition and apply bioinformatics tools to create novel analytical pipelines for analysis of multidimensional data sets. The project will involve (but not be limited to) applying 
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                to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics 
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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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                -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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                , the recruited researcher will use molecular resources and develop bioinformatic tools to describe the taxonomic diversity of zooplankton communities for a series of lakes having been recently restored. Using