Unravelling the impact of oncogenic transformations via multi-omics analysis

You will develop state-of-the-art methods to jointly analyse large datasets consisting of counts, considering:

• count data distributions, considering over-dispersion both for the response as well as for the covariates
• a many-to-many relationship between variables in the two datasets
• allowing for testing for effects of conditions

Your profile:

• a PhD in statistics, bioinformatics or a closely related discipline
• programming skills and R knowledge

Previous knowledge of mixed-effects models and/or Bayesian statistics applied to high-dimensional data analysis is an advantage.

For more details and to apply click here.