Master’s Thesis Project : Scope and Responsibilities
As part of your thesis, you will :
- Apply sequencing-based molecular biology techniques (e.g., RNA-seq, ChIP-seq, HiChIP, Hi-C, PRO-seq) to investigate gene regulation and epigenetic mechanisms in cancer.
- Perform bioinformatic analysis and interpretation of high-throughput data to generate and test biological hypotheses.
- Conduct advanced cell culture experiments, including drug treatment studies in diverse cancer models.
- Use CRISPR / Cas9 gene editing to generate and analyze genetically modified cell lines.
- Participate in high-throughput compound screening in engineered models.
- Engage in internal and external collaborative research projects.
- Document experimental protocols, data acquisition, and analysis results systematically.
Qualifications
We are looking for a highly motivated Master’s student who :
- Is currently enrolled in a Master of Science program (e.g., Biology, Molecular Biology, Molecular Medicine, or a related field).
- Has practical experience with cell culture, transfection techniques, and standard molecular biology methods (e.g., qPCR, Western blotting).
- Possesses a basic understanding of sequencing data and a strong interest in bioinformatics and data-driven biology.
- Works independently, is goal-oriented, well-organized, and thrives in a team environment.
- Communicates confidently in written and spoken English.
- Is passionate about contributing to cancer research and making a meaningful impact.
- Non-EU applicants will only be considered if they have already secured funding for their stay
Additional Information
What We Offer :
- A dynamic and international research environment
- Extensive expertise in cutting-edge epigenetic and gene regulatory techniques
- Access to robust bioinformatics support
- State-of-the-art infrastructure for project-related methods
- A collaborative and supportive lab culture
- Long-standing expertise in cancer biology and transcriptional regulation ( https : / / pubmed.ncbi.nlm.nih.gov / ?term=najafova+z&sort=pubdate&size=20 )
Group Leader Tumor Cell Plasticity Group