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an asset for the position (Da Rocha et al., 2025a). Bibliography: A Baldit, M Dubus, J Sergheraert, H Kerdjoudj, C Mauprivez, and R Rahouadj. Biomechanical tensile behavior of human wharton's jelly. Journal
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. He/she will need to master data processing software such as R. The candidate is also expected to be curious and imaginative, to challenge the team by proposing radically different approaches
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée
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/HRTEM, SAXS/WAXS, surface NMR) – mastery of at least two expected. • Data analysis proficiency (Python/Matlab/R) and statistics (regressions, multivariate analyses). Additional assets • Professional
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Technical skills : - Ability to handle large datasets (hundred thousands to millions of rows) using a programming language (e.g. R, Python, MATLAB) - Good knowledge of descriptive multivariate data analyses
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appreciated. - Advanced statistical modeling (GLMMs, state-space models, stochastic Bayesian programming) in R - Experience with bioinformatics, if possible experience in the use of RAD-seq and/or lcWGS data
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran
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independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-021/Default.aspx Work
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weather prediction models or climate models (global or regional) Good level of written and spoken English Be autonomous in the Linux environment with knowledge of shell, FORTRAN, Python, or R Website
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Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
(language R). - Fonctional validation using organoids. The CNRS (National Center for Scientific Research), certified HR Excellence in Research, is one of the world's leading multidisciplinary public research