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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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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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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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Experience1 - 4 Additional Information Eligibility criteria We are looking for a highly motivated, independent, and rigorous candidate with a PhD, excellent organizational skills, and proven ability to work in
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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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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