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modelling using R. Proficiency in microsimulation and agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and
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). Postdoctoral Fellow, Multimodal Machine Learning Role Overview The Postdoctoral Fellow will develop techniques to build a foundation model of human neurotypes by integrating cognitive task performance
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diagnostic "buckets" with a continuous, high-dimensional AI foundation model of human neurotypes. To achieve the massive global scale required, data collection will be driven by a mobile and browser
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new physical model(s) for cumulus life cycles based on the above findings Publish results in high-impact peer-reviewed journals Qualifying Skills: Ph.D. in meteorology, atmospheric science, or closely
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Summary: 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
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. Retrieval-augmented generation, agentic AI workflows, prompt engineering, or model evaluation. Clinical phenotype extraction from free text. Electronic health records, OMOP, FHIR, ICD-code-based
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medical education, simulation, and the future of digital training in healthcare. Key Responsibilities Research and development of spatial computing-based educational applications on Apple Vision Pro
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systems strengthening (highly desirable) Bilingualism (English and French), strongly preferred given Québec-based co-leadership and national stakeholder engagement Familiarity with federal-provincial
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developing or implementing quality control programs or long-term performance monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows
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, and patient outcomes in Québec. Working with population-based administrative health data, the successful candidate will lead epidemiologic analyses using comprehensive RAMQ and MED-ECHO linked