MU OmicsLab is actively building capacity through student projects, doctoral supervision, co-mentorship and collaborations with experimental and computational partners.
We Welcome
- Diploma thesis students interested in bioinformatics, RNA-seq, image analysis or reproducible analysis.
- PhD candidates interested in computational toxicology, omics integration, AI-assisted tools and reproducible workflows.
- External collaborators who need bioinformatics, image-analysis or computational toxicology expertise.
Good Project Fits
- Transcriptomics and RNA-seq interpretation.
- Mechanistic toxicology and adverse outcome pathway reasoning.
- Quantitative microscopy and image-derived phenotypes.
- Scientific web resources, open datasets and reproducible pipelines.
- AI-assisted biomedical data exploration with careful scientific interpretation.
Co-supervision models with external laboratories are possible when the biological question, experimental system and computational contribution are clearly aligned.
If you are looking for a topic, please send a short message about your background and interests through the contact page.