• We are looking for a PhD fellow with background in machine learning / deep learning models development ideally applied to high-throughput genomics to work with us on approaches to define cis-regulatory signatures useful for breast cancer subtype identification and to develop deep learning models to decipher the gene regulatory networks active in the identified cis-regulatory signatures. More info and application at https://www.jobbnorge.no/en/available-jobs/job/197793/doctoral-research-fellowship-in-computational-biology-gene-regulation

We are always interested in highly motivated applicants for joining the lab. Please contact Anthony Mathelier at anthony.mathelier@ncmm.uio.no for more information.