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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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Excellent skills in bipartite network analysis Previous research experience in interaction inference Good skills in R programming Experience in preparing and handling large datasets integrating data from
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of the project, through development of the R package treepplr (www.github.com/treeppl/treepplr ). The work will include development and implementation of methods to test model adequacy, inference diagnostics
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journals The ability to work both independently and as part of a team Documented proficiency in English, both written and spoken Experience in performing statistical analyses using R or equivalent software
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. Documented experience and interest in developing models coupling the dynamics of soil, plants, and the atmospheric boundary layer as well as strong quantitative and programming skills (in MatLab, R, Python, C