Understanding real-world interactions
Applications are now closed.
This research theme aims to:
- deliver a greater understanding of how resistant bacteria adapt to their environments and vice versa
- understanding the dynamics of community interaction and how this affects resistance and transmission
- ways to manipulate environments to prevent resistance evolution and transmission
- new surveillance networks across different environments
| Project Title | Main supervisor(s) | Keywords | Consortium & host institution |
|---|---|---|---|
| No project available currently | - | Antimicrobial resistance Enterobacteriaceae Mobile genetic elements Bioinformatics Comparative genomics Population/evolutionary genomics | REHAB, Nuffield Department of Medicine, Oxford |
| No project available currently | - | Antimicrobial resistance Environment Interdisciplinary Natural capital Societal impact Policy | CHICKEN or the EGG, University of Exeter |
| No project available currently | - | Mathematical model Bayesian network Statistics Computational biology Probalistic graph model Antimicrobial resistance | EVAL-FARMS, University of Nottingham |
| No project available currently | - | Antibiotics Bacteriology Bioinformatics Sequencing Clinical microbiology Evaluation | OH-STAR, University of Bristol |
| No project available currently | - | Antibiotcs Farming Microbiology Whole genome sequencing Veterinary medicine Modelling | OH-STAR, University of Bristol |
| No project available currently | - | Antibiotics Resistance X-ray crystallography Enzymology Genomics Molecular epidemiology | OH-STAR, University of Bristol |