PhD fellowship in chromatin and computational biolog (ref 308656)

EURAXESS Ireland

Oslo

Hybrid

NOK 550,000 - 700,000

Full time

3 days ago
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Job summary

The University of Oslo invites applications for a First Stage Researcher (R1) in the Division of Biochemistry, Department of Molecular Medicine. You will perform wet-lab 3D genomics experiments and compute analyses on RNA-seq and related datasets to study lamin mutations in lipodystrophy patient-derived cells.

The project is collaborative with the Danish Cancer Institute in Copenhagen, offering a research stay and exposure to cross-disciplinary cell biology and bioinformatics teams.

Job description

Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 16 Oct 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

You will be expected to carry out wet-lab 3D genomics experiments and analyze data in the context of additional datasets (RNA-seq, ChIP-seq, ATAC-seq, protein interactome, etc.) to investigate the impact of lamin mutations on spatial genome organization in lipodystrophy patient-derived cells. You will be expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes.

The project is in collaboration with the Danish Cancer Institute in Copenhagen, and you will have the opportunity to undertake a research stay in Copenhagen.

You will be part of a cross-disciplinary team of cell biologists and bioinformaticians in the Division of Biochemistry at theDepartment of Molecular Medicine. The Division hosts an active community of cell biologists working on, among other areas, chromatin and nuclear architecture using various model systems ( BIO ).

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