Scientist I - ML/AI algorithms for Multimodal Foundational Models for Gene Regulation

Develop multimodal foundation-model methods for gene regulation using modern deep learning, Bayesian inference and causal modelling. Work at the interface of computational research and large-scale biological data.

PhD in computer science, applied mathematics, engineering, computational neuroscience or biology, or equivalent experience, with foundation-model, Bayesian and causal-modelling expertise.