News
A project co-supervised by: Mark A. Lewis (University of Victoria), Hao Wang and Amii Fellow Russ Greiner (University of Alberta), and Pouria Ramazi (Brock University) is looking for a postdoc. The position will help develop tools that apply statistical analysis and machine learning to determine a characteristic structure within multiple early warning signals driven by a disease outbreak.
More specifically, the project will develop machine learning models to detect the structural signatures in coordinated surveillance data to accurately identify the presence of an outbreak. The team will then use statistical analyses and machine learning techniques to detect early warnings. Familiarity with differential equations, machine learning methods, programming and effective communication are key requirements for the position.
This position is part of the One Health Modelling Network for Emerging Infections.
To apply, send your cover letter, CV and the name/contact info for two references to to K Budinski at kbudinsk+PDF@ualberta.ca.
Jul 24th 2024
News
How do we get the best results when AI and human beings work together? In this episode of Approximately Correct, we’re looking into Human-In-The-Loop AI with Amii Fellow and Canada CIFAR AI Chair Matt Taylor.
Jul 22nd 2024
News
Read our monthly update on Alberta’s growing machine intelligence ecosystem and exciting opportunities to get involved.
Jul 18th 2024
News
Amii announces work with Communitech, a Waterloo Region innovation hub, to empower startup founders with the AI tools and resources they need to integrate AI and build in-house capabilities successfully. The collaboration will leverage Amii’s leading AI expertise and resources and be centred around Amii’s Machine Learning Exploration (ML Exploration) program.
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