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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative
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of robust multivariate statistics and machine-learning pipelines (e.g., PCA, PLS-based methods) for classification, biomarker discovery, and cross-platform data integration. Validation of mechanistic
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) in bioinformatics, epidemiology, statistics, or a closely related field, awarded before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree
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motivated bioinformatician to contribute to our research program Eligibility: A PhD (or foreign degree deemed equivalent) in bioinformatics, epidemiology, statistics, or a closely related field, awarded
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well as collaborate with members of the team on research projects that fit their qualifications and interests. Primarly, the selected candidate will design and implement novel ML/statistical approaches dedicated
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/or conducting field experiments Advanced statistical analyses including multi-level analyses Strong interest in intergroup relations. About the employment The position involves full-time employment