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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work
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project is two-fold. First objective is to test if the explanatory variables are robust to the SDM approach, testing a suite of alternative correlative statistical models such as RANDOM forest, GAM
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markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and
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to work independently, is highly motivated, has a strong interest in social and health neuroscience, and excellent skills in quantitative methods, statistics, and project management. Experience in
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cell culture and cellular assays. • Strong skills in experimental data analysis, bioinformatics tools, and statistical analysis. • Knowledge and compliance with current health and safety regulations in