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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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- Good communication of scientific results -Knowledge on evolution, statistics, evolutionary genomics, especially for sex chromosome studies (phylogenomics, orthology, selection, synteny, SNPs, structural
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(statistics, bioinformatics) to identify correlations between siderophore production, microbiota composition, and colonization resistance. - Present results clearly and rigorously (team meetings, reports
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and water content. Statistical analyses of satellite data describing forest dynamics, and their correlation with pre-defined climatic indicators for the dry season. The Institut des Géosciences de
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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, and whether one can identify precursors to the bifurcations. A detailed check of this hypothesis thus requires multi scale tools, such as fluid dynamics on log lattice, LES or statistical kinetic theory
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of statistics is preferred. Experience with experimental work and molecular ecology methods is an asset. The candidate must demonstrate proven ability in independent scientific research and skills in writing
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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integrating knowledge from statistical physics and structural biology. The developed methods will be evaluated using both computational reference data and experimental measurements obtained through