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Postdoctoral Researcher in Computational Genomics
5 days ago
This research position focuses on advancing our understanding of bacterial adaptability and evolution through data-driven approaches.
The project involves applying advanced computational tools to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt to different hosts.
Key research areas include computational methods for analyzing bacterial surface proteins involved in host interactions and mapping the evolution and spread of mobile genetic elements that carry virulence and resistance genes.
Research Objectives:- To apply advanced computational tools to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt to different hosts.
- 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.
This PhD position offers opportunities to join the DDLS Research School, which provides an excellent training program in data-driven life science.
Additionally, you will be part of CARe – the Centre for Antibiotic Resistance Research in Gothenburg, an interdisciplinary excellence center connecting multiple universities and hospitals in the region.
Supervisory Team:Principal Supervisor Dr. Astrid von Mentzer: Expert in microbial genomics and bacterial evolution.
Co-Supervisor Professor Erik Kristiansson (Chalmers University of Technology): Specialist in bioinformatics and machine learning.
Co-Supervisor Dr. Carl-Fredrik Flach (University of Gothenburg): Expert in environmental microbiology.
Requirements:- A background in data science, bioinformatics, mathematics, systems biology, biotechnology, or a related field.
- Experience with analyzing large-scale biological data, computing, and programming skills (e.g., Python and R).
- Strong written and oral communication skills in English are essential for this position.
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