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Research Associate, Deep Generative Modelling for Infectious Diseases
Imperial College LondonLondon, UK
London, UK
Today
Routes to impact
Direct high impact on an important cause
Skill-building & building career capital
Description
Advance machine learning methods for infectious disease modelling with real-world public health applications.
- Develop deep generative models and simulation-based inference methods
- Build scalable tools for fitting complex disease models to data
- Apply methods to antimalarial drug resistance research in sub-Saharan Africa
- Collaborate across machine learning, epidemiology, genomics, and statistics
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