Jobs

PhD position

Improving integration of multimodal omics data for precision metabolic health
Metabolic diseases such as obesity and type 2 diabetes (T2D) are intricately connected and contribute significantly to global mortality. However, considerable variability exists in disease presentation and pathogenesis, leading to different trajectories and outcomes from interventions, even among individuals with similar measurable characteristics. This variation reflects the complex relationship between key factors including nutrition, the gut microbiome, adipose tissue (AT), sex, as well as the host metabolome, all interacting through intertwined molecular mechanisms leading to a high heterogeneity. Our goal is to develop an integrated analytical approach to understand the individual and collective contributions of data spaces to disease heterogeneity, with a specific focus on metabolic health.

More information can be found in the document.

Please contact Richard Golnik if you have any further questions.