PhD on Advanced Statistical and AI Methods for Multi-omic Integration

Full time Life Scientists

Excited to apply advanced statistics, machine learning, and AI to study how environmental exposures drive molecular pathways and multimorbidity?

At the Institute for Risk Assessment Sciences (IRAS), Utrecht University, we are seeking a motivated PhD candidate to work on advanced statistical and AI methods for multi-omic integration, focusing on the computational integration of environmental exposure and multi-omics data to identify molecular pathways involved in multimorbidity.

Your job

Environmental exposures occur as complex mixtures and may simultaneously affect multiple biological systems involved in immune, metabolic, and respiratory health. Increasing evidence suggests that these exposures perturb molecular pathways contributing to multimorbidity across the life course. However, the biological mechanisms linking environmental exposures to multiple disease outcomes remain poorly understood, particularly when integrating multiple molecular layers and c...