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tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies
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and statistical modelling approaches to extract meaningful patterns and predictive biomarkers from large-scale omics datasets. Contribute to the design and execution of research projects, including
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Research Engineer (f/m/d) Background: Reproducible science requires access to suitable and transparent research software. In the field of luminescence-based chronology, the statistical programming
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sets and developing prediction tools based on traditional structured database tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical
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degree in a health-related subject is not required to apply Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good