The holder of this position will be involved in a number of projects studying transcriptional regulation of genes by proteins, non-coding RNA and epigenetic modifications. The focus will be on developing novel computational approaches that integrate heterogeneous data types using hidden Markov models and Bayesian networks in order to predict gene expression. These computational pipelines will be applied to data generated in-house in order to elucidate the genetic regulatory networks of embryonic stem cells and nuclear precursor cells. - Andrew Perry