
PhD Researcher in Data-Driven Life Science
5 days ago
At the University of Gothenburg, we are seeking a motivated and independent PhD researcher to contribute to our project focused on understanding bacterial evolution and pathogenicity through data-driven approaches.
This research project aims to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt to different hosts by applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis.
The key research areas include:
- Using computational methods to analyze bacterial surface proteins involved in host interactions and predict host-pathogen dynamics.
- Identifying genetic traits responsible for the emergence of new pathogenic E. coli variants.
- Mapping the evolution and spread of mobile genetic elements, such as plasmids, that carry virulence and resistance genes.
As part of this PhD position, you will also join the DDLS Research School, which offers an excellent training program in data-driven life science.
RequirementsWe are looking for a candidate with a background in data science, bioinformatics, mathematics, systems biology, biotechnology, or a related field.
Experience with analyzing large-scale biological data, as well as computing and programming skills (e.g., Python and R), are considered beneficial.
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