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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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                based on C, S, or R strategies, with threshold values for nutrients or abiotic factors. The model will focus on key mechanisms and must account for direct or indirect competition between species 
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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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                , extraction, compound purification (flash chromatography, HPLC), structural identification of compounds (NMR, MS), metabolomics. Additional knowledge of R and/or Python is an asset. Cross-disciplinary skills 
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                publications: 1.Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, De Oliveira RD, Culeux C, Mlayah B, Gauthier N, Gonzales F, Zhao LP, Ganesan S, Gou P, Ling F, Soret-Dulphy J, Parquet N 
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                cell/bulk and spatial transcriptomic-, epigenomic- proteomic- and microscopy-based approaches. Selected publications: Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, De Oliveira RD 
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                Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 2 months agoperiodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real 
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                , electrocardiogram). Advanced skills in statistical analysis and modeling, particularly in cross-frequency coupling, with proven experience using Python and R environments. Proven experience in experimental research 
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                Dubus, J Sergheraert, H Kerdjoudj, C Mauprivez, and R Rahouadj. Biomechanical tensile behavior of human wharton’s jelly. Journal of the Mechanical Behavior of Biomedical Materials, 126 :104981, 2022. M-A