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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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facility), result analysis (R-studio, with the help of the Bioinformat'IC facility), functional studies by cell culture, Aurora spectral cytometry, MSD analyte dosage, immunofluorescence, and modulating
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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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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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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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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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“on-the-fly” approaches to efficiently process large volumes of data. The candidate will then perform benchmarking of these techniques to evaluate their performance and relevance for the analysis of airframe
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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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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, 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