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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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lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods that integrate single-cell genomics and spatial profiling to study cancer
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
of classes, tutorial sessions, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area
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positions. The lab’s research spans a wide spectrum, from foundational questions to applied technologies. Current topics include, for example: Quantum information in quantum gravity Relativistic Quantum
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Research. The appointment will be at the rank of Assistant Professor, with anticipated start date of January 1st, 2027. Candidates must hold a PhD at the time of appointment, in one of the following fields
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including