We are a research network of experts enhancing Canada’s early detection, warning & response to emerging infectious diseases using a One Health approach. Funded by Natural Sciences and Engineering Research Council of Canada (NSERC) and Public Health Agency of Canada.
OMNI’s core objective is to develop models that would lead to the identification of critical data gaps from a One Health perspective. Identification of these gaps would be used to…
Join us on Wednesday, June 1@ 11:00 EDT for our second talk of the OMNI-RÉUNIS Distinguished Lecture Series, where Dr. Matt Keeling is invited to present on ‘COVID-19 in the UK: Data, Models, Projections and Policy‘. Please visit the Distinguished Lecture Series page for more details. We look forward to your attendance!
OMNI-RÉUNIS is launching its first lecture on March 15@11:45 EST as part of the network’s 2022 Distinguished Lecture Series. Dr. Karine Chalvet-Monfray is invited to present her Reflections on Modelling for Infectious Diseases in the Framework of a One Health Approach. Please visit the Distinguished Lecture Series page for more details.
OMNI-RÉUNIS is seeking to fill several postdoctoral fellowship positions across Canada to build capacity in modelling of infectious diseases with a one-health lens. Successful candidates will work at the interface of mathematics/statistics, epidemiology, and public health to design and analyze mathematical/statistical models through an infection spectrum from early detection to mitigation. They will work with interdisciplinary committees of scientists and public health experts to produce simulation data and inform public health policy. Postdoctoral fellows will communicate their results through high-impact publications, conference presentations, and knowledge transfer events such as public seminars and other outreach activities.
QUALIFICATIONS & SKILLS
PhD in applied mathematics, statistics, computer science, data science or a related field (essential)
Demonstrated mathematical modelling, statistics, or data analysis capacities using data-driven quantitative analyses, differential equations, stochastic modelling, and/or mixed-effects modelling (essential)
Experience in epidemiology or One Health (desired)
We are pleased to welcome our network members, stakeholders and the public to the new OMNI-RÉUNIS website! If you have questions or want to get involved with the network, please contact us!