You will explore single-cell epigenomics and transcriptomics data, generated in the lab and highly focused on the developing neurons of the human cerebral cortex. Using computational approaches you will infer gene regulatory networks, and study the impact of specific genetic networks on the development of human neurons, how these compare with neurons from other species, and in pathological contexts such as intellectual deficiency and autism spectrum disorders.
This highly multidisciplinary project will be undertaken in active collaboration with the Aerts Lab, leader in bioinformatics and transcriptional mechanisms.
Depending on your expertise, you can apply machine learning techniques or statistical/Bayesian data integration techniques. You can explore big data compendia such as the emerging single-cell atlases (Human Cell Atlas, Fly Cell Atlas, etc.).
We are seeking highly motivated individuals with a strong interest in developmental neurobiology and/or evolutionary biology, with a strong background in bioinformatics.