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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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their vulnerabilities. In this context, participatory methods can play a pivotal role in the collection, analysis, and dissemination of data related to natural hazards. By mobilizing local knowledge, lived experiences
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of microbiology, infectiology, and cell biology. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7255-STECAN-008/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent
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of DNA/RNA manipulation techniques and design of expression constructs. • General knowledge of in vitro antiviral validation methods (assays on human cell lines). • Understanding of LNP-based approaches
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performing the gas assisted in-situ and operando TEM-based characterizations using the Atmosphere Environmental-cell from Protochips, installed on an analytical double corrected TEM, ARM-200CF from the Genesis
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, various digital tools have emerged to address these needs: mobile apps, training software, and communication aids (Oussama et al., 2021; Phosanarack et al., 2025). Although promising, these technologies
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take place. • Training in both academic and industrial research environments. • Salary according to EU guidelines for Marie Skłodowska Curie trainees, including mobility payments and family allowances where
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Curie trainees, including mobility payments and family allowances where applicable. Several summer/winter schools are also planned to strengthen doctoral students' knowledge in scientific fields, as
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tissue injury and cell loss. This regenerative capacity holds great potential in clinical settings, offering promising avenues for treating liver diseases requiring surgical tissue removal and enhancing
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? How can minimally invasive, bioorthogonal click chemistry-based labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics