The COBRA Lab at the University of Alberta is seeking multiple highly motivated Postdoctoral Fellows/PhD students to join a cutting-edge research project focused on applying artificial intelligence (AI) and machine learning to vaccine development. This is part of a larger multidisciplinary effort aimed at creating a one-of-a-kind pipeline for predicting vaccine efficacy and minimising adverse outcomes (PIVOT).
Project Overview: You will play a key role in developing AI-assisted models to compare and predict the efficacy of various vaccines. The goal is to utilise big data generated from pre-clinical models to build machine learning algorithms that optimise vaccine choice and guide future vaccine development efforts.
Key Responsibilities:
Analyse and integrate biological datasets, including immune responses, antigen distribution, and vaccine safety profiles.
Develop and implement machine learning models to
(1) predict the best vaccine candidates based on a set outcome.
(2) predict the minimal set of assays needed for future vaccine characterization and comparison.
(3) calculate the statistical similarities between any new antigen candidate and the antigens used for training.
(4) incorporate learning feedback in the model to improve over time with new data.
Collaborate with immunologists, virologists, biologists, and other AI experts to optimise and validate models.
Present research findings at conferences and contribute to high-impact publications.
What We Offer:
A fully funded, 4-year position in a highly collaborative, interdisciplinary research environment.
Access to state-of-the-art computational and biological research infrastructure.
Opportunities to work with leading experts in AI, immunology, and vaccine research.
A chance to contribute to research with real-world applications in public health and pandemic preparedness.
Required Qualifications:
For Postdoctoral Fellow: PhD in computer science, bioinformatics, machine learning, or a related field.
For PhD Students: A Master’s degree in a related field or exceptional undergraduates with experience in AI or computational biology.
Previous research experience in a related field is an asset.
Strong proficiency in machine learning frameworks and programming languages.
Experience in biological data analysis and/or bioinformatics is highly desirable.
Excellent communication skills and the ability to work collaboratively in a multidisciplinary environment.
How to Apply: Send your CV, a cover letter detailing your research interests and experience, and contact information for two referees to jabbari@thecobralab.com by November 15, 2024. PhD candidates, please submit a copy of your BSc and MSc transcripts as well.