Postdoctoral fellow in malaria computational epidemiology

Tasks

• Contribute to grant applications and dissemination
• Develop and extend network based transmission inference methods
• Develop scalable reproducible inference pipelines
• Lead research activities for methodological and R package development
• Publish peer reviewed findings and present at conferences
• Supervise and train junior researchers students and collaborators
• Test and document open source R package
• Validate methods using simulation and real world datasets

Perks/Benefits

• Conference travel
• Mentorship
• Personal days
• Vacation days

Skills/Tech-stack

Computational Epidemiology | Data Analysis | Diffusion Modelling | Documentation | Epidemiological Data | Epidemiological data analysis | Genomic Data Analysis | Genomic data | Modular Pipelines | Network inference | Open Source | Open Source Software | Open-source software development | Probabilistic Programming | Python | R | Reproducible Workflows | Simulation-based validation | Software development | Spatial Modelling | Statistical Modelling | Temporal Modelling | Testing | Version control