Postdoc Position in Machine learning tools to combine sequence and biologically heterogeneous data 

Application deadline:

We are looking for a Postdoc Researcher with a computational profile and an interest in biological applications. Big data are characterized not only by their size but also by their heterogeneity and noisiness. These features apply in particular to genomic data: their size has been increasing exponentially with the advent of new sequencing technologies, but also their complexity. We aim at combining several available sources of information, not only the phenotypes and sequence data, but also, e.g., annotation features or metabolic pathways. An important goal is not only to provide efficient predictors but also tools to biologically interpret the results. We aim at developing tools that combine image and sequencing data.