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microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress responses. In particular
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the experimental and bioinformatics analysis components—is essential. Proficiency in classical genomics techniques (RNA-seq, ChIP-seq, etc.) Proficiency in mouse ES cell culture and in vitro differentiation
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. - Bioinformatics interpretation of data. - Monitor project(s) - participate and present results in consortium meetings. - Write reports. - Present, disseminate and promote achievements. - Ensure traceability
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for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
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. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
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processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within the project and
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acquisition and accelerate hyperspectral data processing. - Measurement campaigns Selection of samples from various fossil sites studied in the project, in coordination with project partners. Conducting
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approach. The project's overall framework encompasses the key facets of biodiversity (levels of biodiversity, biological groups and variability), the forces and processes that shape them, their spatio
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the material production process (in collaboration with IFPEN). Work Environment The postdoctoral researcher will work at the Centre de Recherches sur les Macromolécules Végétales (CERMAV, UPR 5301), located
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C Moutou. This project aims at modeling the magnetic topologies and accretion processes of pre-main sequence low-mass (T Tauri) stars, monitored with the SPIRou near-infrared spectropolarimeter