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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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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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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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specifically Mouse tumour models Background knowledge of Oncology/cancer biology in Breast or prostate cancer models Background knowledge of Cell culture Knowledge and experience in Tissue processing/histology
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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
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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
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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