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Postdoctoral Research Fellow in Bioinformatics and Computational Biology

Empresa sin especificar

Noruega📅 1/10/2026

Descripción

About the position We invite applications for a Postdoctoral Research Fellow position in Bioinformatics and Computational Biology at the Department of Clinical Molecular Biology (EpiGen), Campus Ahus, University of Oslo. The preferred starting date is as soon as possible. The appointment is for a period of three years. In accordance with University of Oslo regulations, no individual may be appointed to more than one Postdoctoral Research Fellowship period at the University. The position is based at the Department of Clinical Molecular Biology (EpiGen) at the University of Oslo, Campus Ahus, Lørenskog. EpiGen is a joint research unit established by the University of Oslo (UiO) and Akershus University Hospital (Ahus). The department is actively involved in several major national research initiatives and offers an outstanding research environment with state-of-the-art laboratories, advanced computational infrastructure, and dedicated research facilities. The position is funded by the Research Council of Norway. The successful candidate will join an interdisciplinary research team comprising molecular biologists, bioinformaticians, physicists, and pathologists. The project aims to develop a biophysically interpretable machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization—to identify functional long-range gene regulatory interactions in cancer. The postdoctoral researcher will collaborate closely with students, PhD candidates, researchers, and national and international partners. The work is expected to result in high-quality scientific publications as well as broadly applicable computational resources, such as open-source software and bioinformatics tools. We seek a highly motivated and ambitious researcher with a strong background in molecular biology, human genetics/genomics, bioinformatics, machine learning, data mining, and computati
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