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.
Mar 22nd 2023
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On Feb. 17, Ehsan Imani— PhD student at the University of Alberta — presented “Representation Alignment in Neural Networks" at the AI Seminar.
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Alona Fyshe presents on the similarities between the human brain & AI and how to leverage this relationship. Check out her AI Week 2022 keynote.
Mar 16th 2023
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