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Additional comments Applicants must hold a PhD in bioinformatics and/or evolutionary ecology. The selected candidate will interact and collaborate closely with all members involved in the project. Website
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departments (from Paris-Saclay university and from Université Lyon 1), and involves 7 PIs and 5 postdocs and PhD students devoted to distinct workpackages of the project. The postdoc will be based at EGCE
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Information Eligibility criteria -- PhD in population genetics -- Expertise in phylogenetics, high-throughput sequencing, and bioinformatic analyses -- Ability to write scientific articles and present results
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on the kleptoplastidy system, including sample preparation and bioinformatics analyses. - 3D imaging (3D electron microscopy and expansion microscopy) to characterize the kleptoplastidy in different conditions. The
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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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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution
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at the plasma membrane - Examine the presence of viral products (dsRNA, MP) in the apoplastic space of virus-infected plant tissues Secondary tasks : - Supervision of PhD and Master students - Collaboration and
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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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international collaborators. - Production of viruses and infection in an L3 containment laboratory - High-throughput sequencing and bioinformatics analysis - Microscopy (RNA and proteins) - CRISPR genetic
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of PhD and/or Master students - Collaboration and discussion of research results with the team members as well as with the project partner in Germany - Communication of research results (seminars