PhD Research Fellow: Bioinformatics & 3D Genomics in Cancer

Universitetet I Oslo; Lørenskog; On-site; NOK 551,000 - 600,000; Full time

Job summary

The University of Oslo invites applications for a PhD Research Fellow in bioinformatics and computational biology at the Ahus Campus, Lørenskog. The project aims to develop novel data-mining methods and a machine-learning model integrating TF–DNA interactions, epigenetic features, and 3D genome organization to identify functional long-range interactions in cancer.

The fellowship is three years with no teaching obligations, and the successful candidate will collaborate with UiO, Ahus, and Oslo

Qualifications

• Master's degree in bioinformatics or computational biology; MSc in physics, computer science, applied mathematics, or statistics also considered with biology aptitude.
• Strong knowledge of statistics, data mining, and machine learning methods.
• Shell scripting, R, Python, and C programming skills.
• Experience with high-throughput sequencing data analysis.

Responsibilities

• Develop a biophysically interpretable machine learning model integrating diverse data to identify functional long-range regulatory interactions in cancer.
• Work with UiO, Ahus, and Oslo University Hospital researchers to validate predictions with in vivo/in vitro data.
• Explore data mining methods including network analysis in 3D genome regulation.

Skills

Master's degree in bioinformatics or“?

Education

Master's degree in bioinformatics or computational biology

Five-year master's degree or equivalent (admission requirement)

Job description

The University of Oslo invites applications for a PhD Research Fellow in bioinformatics and computational biology at the Ahus Campus, Lørenskog. The project aims to develop novel data-mining methods and a machine-learning model integrating TF–DNA interactions, epigenetic features, and 3D genome organization to identify functional long-range interactions in cancer.

The fellowship is three years with no teaching obligations, and the successful candidate will collaborate with UiO, Ahus, and Oslo