-
also opens new avenues for the design of climate-resilient crops. You will apply AI strategies to learn the regulatory syntax encoded by the Arabidopsis genome using single-cell transcript data as
-
the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Supported by single-cell profiling and predictive artificial intelligence models
-
-ray videocystometry in awake mice, and optogenetic modulation of urothelial cells. The candidate will design and conduct experiments exploring mechanosensitive ion channels (e.g. TRPV4, PIEZO1/2) and
-
computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin