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Academic Job Category Faculty Bargaining Job Title Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design Department Department of Biochemistry and Molecular Biology | Faculty
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 17 days ago
undergraduate research experience (CURE) in biological sciences will introduce students to the process of scientific inquiry as they engage in a hypothesis-driven research project with an emphasis on student
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and biology education. We investigate the behaviour of cells – the fundamental units of life – in terms of molecular processes within and between cells. Our researchers integrate both hypothesis-driven
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cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 20 hours ago
adaptations; disease modeling and the pathophysiology of pregnancy-associated complications (e.g., preeclampsia, preterm birth, gestational diabetes); therapeutic discovery; and the developmental origins
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
staff foster a vibrant, purpose-driven community, that celebrated 200 years of academic excellence in 2018. Job Summary The AI-Enhanced Biogeochemical Modelling and Digital Ocean Science Services project
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designing and creating optimal processes and procedures to systematize the data reporting process. The incumbent will use advanced data modeling, predictive modeling, and analytical techniques to develop
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greenhouse agriculture. This position is part of a multi-disciplinary project to develop and deploy the Autonomous, AI-driven soilless plant production system for sustainable high-value plant production in
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program focused on aging, metabolism, and development of innovative three-dimensional (3D) models of urologic cancers using fresh human tissue, including organoid and stem/progenitor cell-driven approaches
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modelling, dynamical systems, scientific computing, or data-driven applications). Experience teaching large, multi-section courses and coordinating course delivery would be considered an asset