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on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
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are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate
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; a curriculum vitae; a numbered list of publications (highlight two key items) a research plan (max. 4 pages), explaining how your project aligns with Labour Evolution project, including objectives
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pages), explaining how your project aligns with Labour Evolution project, including objectives, methodological and theoretical approach, deliverables, and a publication plan. Contact details for one
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bioinformatics tools (preferably using R) Has solid track record and strong scientific drive Ability to work independently and collaboratively in a diverse team environment Has strong interpersonal skills with
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molecular biology methods on biological samples, and analysing clinical trial data using advanced bioinformatics tools (preferably using R) Has solid track record and strong scientific drive Ability to work