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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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activities related to the project. These may consist of, among other things: RESPONSIBILITIES: Planning and executing research activities including literature reviews the development of subsequent waves
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). This position will focus on developing and applying AI-based approaches to identify patients who may be undiagnosed, misdiagnosed, or delayed in diagnosis. The successful candidate will use clinical notes
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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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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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: 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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are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
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Postdoctoral Researcher who will focus on establishment and development of Al strategies for the study of various pathological entities with translational potential. The postdoc will collaborate with