Hamburg, Germany
Internship Explorer
Internship Explorer
Our group develops computational approaches to understand host–pathogen interactions and their evolution, with the long-term goal of identifying new strategies for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models, that capture cellular responses to infection across tissues and conditions. The candidate will investigate systematic biases and biological confounders in existing datasets, develop computational strategies to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance the use of foundation models for integrative, predictive modelling of host–pathogen systems.
