Research Fellowship at University of Oslo, Norway | Apply Now
Research fellowship opportunities like this PhD position at the University of Oslo offer an exciting pathway into advanced cancer research. This role focuses on cancer chromatin, epigenetics, and computational epigenomics, making it ideal for candidates interested in molecular biology jobs and pursuing a PhD in Norway. With access to cutting-edge technologies and multidisciplinary collaboration, this position provides a strong foundation for building a career in cancer research and bioinformatics.
- PhD Position: Research fellowship PhD candidate in Cancer Chromatin, Epigenetics, and Computational Epigenomics
- Location: Norway
About the University
Research fellowship opportunities at the University of Oslo provide access to one of Europe’s leading research institutions. The position is based at the Institute of Basic Medical Sciences, within the Faculty of Medicine in Norway. The university is known for its strong focus on interdisciplinary research and innovation, especially in molecular biology, cancer research, and computational sciences.
PhD Post Description
Research fellowship role for a PhD candidate in cancer chromatin, epigenetics, and computational epigenomics at the University of Oslo. The position involves developing and applying bioinformatic and statistical methods to large-scale multi-omics data to study epigenetic mechanisms in sarcoma. The candidate will work in a multidisciplinary team, contribute to data integration and algorithm development, and complete a PhD within the fellowship period.
Qualifications
Research fellowship applicants must meet both academic and technical requirements for this molecular biology job.
Required
- Applicants must hold a master’s degree or equivalent in molecular biology, biochemistry, bioinformatics or biostatistics or related fields
- A master’s degree (120 ECTS) or an equivalent qualification, minimum grade B (ECTS grading scale) or higher
- The master’s degree must include a thesis of at least 30 ECTS
- Fluent oral and excellent written communication skills in English
- Working knowledge in programming (e.g., in Python, R, or bash)
- Experience with high-throughput sequencing data analysis (e.g. RNA-seq)
Desired
- Experience with computational (epi)genomics data analysis
- Experience with RNA-seq and/or single-cell RNA-seq
- Experience with analysis of CRISPR screen or drug screens datasets
- Experience with workflow management tools (Nextflow or Snakemake)
- Experience with version control (Git, Github)
- Experience with workload manager (Slurm)
- Experience with machine learning or statistical modelling for biological data
- Experience with protein structure prediction (Alphafold)
- Experience with generation of samples/library preparation for RNA-seq or ChIP-seq or ATAC-seq
Key Responsibilities
Research fellowship candidates will engage in high-level computational and interdisciplinary research tasks.
- Perform computational and statistical analysis of multi-omics data
- Develop bioinformatic pipelines and algorithms
- Work with genomic datasets such as RNA-seq, ChIP-seq, and ATAC-seq
- Collaborate with multidisciplinary teams in molecular biology and bioinformatics
- Contribute to research publications and open-source tools
- Participate in the Faculty of Medicine PhD program
