Project type: Bioinformatics; data analysis; no wet lab
Project overview
Develop structured workflows in which large language models support interpretation of complex proteomics data. You will generate, prioritise and document biological hypotheses, then test their robustness against independent pathway and network resources.
Example project aim
Generate and evaluate mechanistic hypotheses from air-pollution proteomics data using a transparent, reproducible AI-assisted workflow.