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. Accountabilities to Dr. Molinaro may include: Participate in qualitative coding and analysis under direction of supervisor, prepare summaries. Assist with obtaining data and information from databases for others
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, hygroscopicity, and surface tension. Prepare figures, research documentation, reports, presentations, and scientific manuscripts. Contribute intellectually to the interpretation of research results and development
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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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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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research data, and perform various administrative tasks related to the project. RESPONSIBILITIES Under the supervision of the Research Supervisor, assist in the development of discussion exercises and
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targeted literature review related to refugee-background students, literacy, belonging, and arts-based/multimodal storytelling. Support the development and refinement of data collection tools and research
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transformation. Area of Research Digital health maturity in primary care; development and validation of digital health maturity models and assessment tools; Delphi methodology; health services research; primary
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: Support the work of the Provostial Advisory Committee for Students and Scholars at Risk through meeting coordination, agenda development, stakeholder engagement, note-taking, project implementation, and
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: The successful applicant is expected to: Develop an AI to critically appraise the medical literature Validate an AI to critically appraise the medical literature Manage a training dataset for training AI
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School of Architecture is seeking a motivated Research Assistant 1 (RA1) to support the Circular Cities research project. The successful candidate will contribute to the development of urban datasets