The successful candidate will join an interdisciplinary team of molecular biologists, bioinformaticians, physicists, and pathologists to develop a biophysically interpretable machine learning model that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenetic features, and three-dimensional (3D) genome organization—to identify functional long-range gene regulatory interactions in cancer. The candidate will work with researchers at UiO, Ahus, and Oslo University Hospital (OUS), as well as by international collaborators in the United States. The research conducted during the appointment is expected to culminate in a PhD thesis submitted to the University of Oslo.
We seek a highly motivated candidate with a strong background in molecular biology, human genetics/genomics, data mining, machine learning, and computational programming. The ideal candidate will hold a Master's degree in bioinformatics or computational biology. Applicants with an MSc in physics, computer science, applied mathematics, or statistics are also encouraged to apply, provided they can demonstrate a strong interest and aptitude for learning molecular biology and human genetics
Please visit the website below to submit your application online:
www.jobbnorge.no/en/available-jobs/job/309328/phd-research-fellow-in-bioinformatics-and-computational-biology