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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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, experimental troubleshooting, scientific communication, and translation of complex technical concepts into practical experimental procedures. Opportunities will also be available to present research and
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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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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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: 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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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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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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tuberculosis research studies by performing assigned tasks following complex protocols; tasks may include, but are not limited to: Recruiting and screening participants Obtaining informed consent Scheduling
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skills and expertise are necessary. In addition, depending on interest and experience, the postdoctoral researcher will also have to opportunity to conduct studies in cell and animal models. Working in a