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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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meaningful tools. The research team is also part of BC's Gynecologic Cancer Initiative, a world-leading interdisciplinary team working together to drive innovative research that transforms how we prevent
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, with a focus on developing new tools and insights to understand where to prioritize perennial restoration actions in agricultural landscapes to maximize biodiversity conservation, ecosystem services, and
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November 2026 - 23:59 Eastern Time For more information on career tools and other resources, check out Career tools and resources *If you are currently a term or continuing employee at NRC, please apply
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: The R2L Lab explores how language understanding improves machine learning efficiency and generalization. We are a leader in agentic benchmarks and evaluation; our platforms serve as primary evaluation
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, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
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. Designing and Developing AI Prototypes: Contributing to the conceptualization, design, and initial development of AI tools and prototypes in relation to the principles and themes of the Dish with One Spoon