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developing new genomic methods • Ability and willingness to participate in hands-on data analysis, including bioinformatics pipelines A proven track record in epigenetic regulation, genome stability
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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, and stability. - Participate in the characterization of synthesized membranes using various analytical techniques. - Contribute to the analysis of experimental results and the preparation of technical
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Mohammed (Maurice Halbwachs Center, CNRS). This research project is structured around five axes: analysis of police and court records; sociology of the anti-drug police enforcement; analysis of the social
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, etc.). Potentially, analysis of the National Alzheimer's Database (BNA) to provide a national perspective on the effects observed in the Méotis network data, subject to approval by the scientific
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degree in aquatic microbial ecology and experience in high-throughput sequencing data analysis and statistical tools (familiarity with the UNIX terminal environment; management of big data on clusters
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the conceptual, historical, and geographical scope of the analysis of human-reef relationships in order to propose systemic and operational management measures tailored to specific needs. We want to develop
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The ideal candidate will have strong skills in experimental design, data analysis, and bioinformatics, along with excellent written and oral communication in English. Experience working with C. elegans
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CAD software like KiCad (or equivalent); - Confirmed programming skills, particularly in C and C++, as well as data analysis and processing using Python-based tools; - Ability to work in an