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harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal Competencies Strong analytical and problem
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microbial ecology, fungal biology or conservation. Experience with fungal community, genomic or transcriptomic analyses Knowledge of multivariate analyses and statistical modelling Excellent
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cereals. The field experiments will generate multivariate data and you are expected to conduct statistical analyses and interpretations of the data based on scientific literature and theoretical
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quantitative skills, including advanced statistical analysis in R and experience with mixed-effects and multivariate models. • Very good oral and written proficiency in English. • A valid driving licence
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computational or machine learning methods. Solid knowledge of statistics, biostatistics, and multivariate data analysis, including appropriate methods for model evaluation and validation. Excellent written and
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food, protein, or colloidal systems, knowledge and experience in statistical experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot