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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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education. The project will involve software development for Apple Vision Pro using Swift and the Apple spatial computing ecosystem, as well as the development and deployment of edge AI models for automated
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: Work on the project to build a statistical model that predicts stability of a given heteroaromatic silicon-fluoride acceptor to survive in the body Scientific writing Mentoring graduate students
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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Position Summary: Conduct phase-field modelling of microstructure evolution in two-phase ferritic steel in partnership with Hydro-Québec. Qualifications: PhD in Physics or related field Before applying
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) . About the program/department/team The Department of Physics has a very active research and innovation environment and currently hosts 20 full-time faculty members, 34 adjunct faculty members, 7 staff
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are looking for a motivated postdoctoral researcher to spearhead a research project focused on pediatric-type brain cancers. The project has a heavy computational biology component. Therefore, bioinformatics
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researchers, clinicians, and research associates, from specific underrepresented groups to help them launch their research faculty careers in Canada. Through its two-phase model, which begins with mentored
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novel molecular mechanisms associated with trauma which may reflect clinicopathology and/or serve as potential biomarkers. This position will involve studies using human brain tissue, mouse models, and