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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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of the microbial ecology results in mineralized environment in the petrology and thermodynamic modeling components of the project. This project involves 6 (teachers)-researchers and research engineers from
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
ecology and ecophysiology. Experience in tree physiology and climate change impacts is a plus. • Strong background in ecological modelling, programming and analytical skills in R and strongly recommended in
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quantitative data analysis software - Ability to lead meetings with project partners - Writing skills Research FieldEnvironmental science » Ecology Additional Information Website for additional job details https
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of biodiversity - Knowledge of polar environments - Mastery of data acquisition and management tools in ecology or anthropology - Ability to work in a team Website for additional job details https://emploi.cnrs.fr
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and the characteristics of the area in which they are located on the other; ii) territorial disparities and iii) the ecological bifurcation of areas. He/she will compile these unique databases from
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limited to) Biology (Ecology), Agriculture and Forestry, Environmental Science or Conservation Science; • Proficiency in R; • Proven skills (e.g. publications) in statistical modelling (e.g. use of R
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thereby interact with a diverse team of investigators with expertise in marine biogeochemistry, marine microbial ecology and diversity, and physiology of key microbial model organisms. Where to apply
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University of Strasbourg (UMR7178), is a multidisciplinary laboratory where research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very