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Postdoctoral Fellow in AI for Health and Multimodal Health Data University of Manitoba in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

University of Manitoba

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Artificial Intelligence
Medical Science
Explainable Ai
Statistics
Machine learning

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About this position

Postdoctoral Fellow opportunity in AI for Health at the University of Manitoba, Rady Faculty of Health Sciences, in Winnipeg, Manitoba, Canada.

The research program focuses on developing advanced AI methods for the early prediction of complex health conditions using multimodal health data. Core research areas include electronic health records (EHR), longitudinal clinical data, medical imaging, physiological time-series data, and clinical text. Methodological interests include deep learning, foundation models, and the development of explainable, responsible, and clinically meaningful AI.

This is a full-time, one-year postdoctoral position with the possibility of extension, starting immediately. Applicants should hold a PhD in Computer Science, Computer Engineering, Biomedical Engineering, Data Science, or a closely related field, and should have a strong record of scientific communication.

How to apply: submit an application through the official recruitment portal using Req #40988. The post includes a direct application link and invites candidates to email the poster with questions about the lab or role.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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