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the T4SS, test it through functional assays, and validate it using structural approaches. Main tasks Perform genetic constructions (cloning, mutagenesis, sequencing validation) and functional bacterial
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aims to provide an integrated assessment of urban vegetation from multiple perspectives, including its social functions and usage requirements, the ecosystem health of green spaces linked to plant
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for the identification of antibiotics-associated proteins and antimicrobial peptides Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples
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. Good command of biostatistics (database management, use of R software) as well as an excellent level of English are essential. As eDNA data are amplified and sequenced independently, the involvement
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of gains and losses of the motif sequence found at chromosome breakpoints using our collection of well-assembled genomes at different evolutionary scales (haplotypes, strains, and species) via bioinformatic
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proteins (RIME) in a context where PRDM9 is present or absent, and the genomic localization of its known co-factor REC114 will be studied by ChIP followed by NGS sequencing. For a better mechanistic insight
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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into biodiversity prioritization (i.e. weighing benefits over time); ● models how functional and phylogenetic diversity may diverge or align under species loss and environmental change; ● tackles uncertainty via
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-extraction of poorly soluble molecules using supercritical CO₂ from propolis extraction residues In light of current environmental and societal challenges, the development of new processes aligned with
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to infer laminar burning velocities by extrapolation) will be quantified by sampling multiple DNS. This work aims to enable the robust inference of kinetic parameters directly from simulations