Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology

Join the Zenk Lab at the NeuroNA Chair in Epigenomics of Neurodevelopmental Disorders to integrate multimodal single-cell datasets, including RNA-seq, ATAC-seq, CUT&Tag, HiC and proteomics. Research uses machine learning to study trajectories, regulatory dynamics and cell-fate transitions, alongside experimental and computational collaborators. Duties include publishing findings and supervising students. This full-time fixed-term appointment in Geneva has a stated duration of twelve months.

Strong computational biology, bioinformatics, machine-learning or quantitative training; single-cell data-analysis expertise, biological statistical modelling and proficiency in Python or R. Multimodal integration and trajectory-inference experience are relevant. An interest in developmental and human biology is valued. Apply through the linked online platform.