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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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maintain machine learning models, algorithms, tools, and agents for analyzing biomedical data. Collaborate with data engineers to build scalable data pipelines for model training and inference. Work with
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frameworks. Familiarity with vector databases, semantic search, and agent-based AI solutions. Experience working with cloud-based AI platforms such as AWS SageMaker, Azure OpenAI, OpenAI APIs, and Google AI
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
coding of front-end applications such as mobile interfaces or of back-end software such as introductory artificial intelligence or social media analysis. The practicals are lab-based and focus on applying
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on a team-based project spanning in the Zandstra lab (https://www.stemcellbioengineering.ca/ ) for a two-year term. The position may be renewed and is subject to work performance and funding availability