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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Date Posted: 07/03/2026 Req ID: 49169 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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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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well as part of a team; ability to function under pressure and in stressful situations; ability to evaluate the work of others; sound computer knowledge and proficient with Microsoft products. While applicants
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demonstrate expertise in mathematics for machine learning, applied machine learning, data science, and time series analysis. The successful candidate should be capable of teaching a range of courses, from
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and validation processes. Maintains and operates research and production environments, including machine learning infrastructure and associated system components, ensuring reliability for ongoing
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
& Medicine. This is an exceptional opportunity for a talented and ambitious researcher to build an independent, high-impact research program at the intersection of machine learning and healthcare
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Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning
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on programmatic and research needs Familiar with utilizing and understanding common machine learning techniques Supervise the work of junior developers/co-op students and undergraduate trainees, which includes
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learning environment, please see the UBC Inclusion Action Plan’s goals related to recruitment and retention at: https://equity.ubc.ca/stear-framework-and-roadmap-for-change/ The University is committed
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underpinning fundamentals such as fluid mechanics, dynamics and control with application of recent advances in artificial intelligence, machine learning and multidisciplinary design optimization