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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with
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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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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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., Zimmermann V., Dardalhon V., Campillo Poveda M., Turtoi E., Thirard S., Forichon L., Giordano A., Ciancia C., Homayed Z., Pannequin J., Britton C., Devaney E., McNeilly T. N., Berrard S., Turtoi A., Maizels R
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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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, 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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cluster, R and Python. The selected candidate will benefit from strong interactions with the teams in the Inserm unit U932 “Immunity and cancer” and with the bioinformatics hub of Institut Curie
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 14 days ago
experience in single-cell transcriptomics and experience with data analysis tools. • Proficiency in programming languages such as R or Python. • Experience with high-performance computing environments