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 TitleMain supervisor(s)KeywordsConsortium & 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