170 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "St" research jobs in Canada
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on Harmonization, Tri-Council Policy Statement, Good Clinical Practice; and 5) U.S. Food & Drug Administration. b) Lack of careful attention to regulatory guidelines and approvals can lead to suspension of further
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on candidate’s desire concentrated on investigating genetics of Huntington disease, molecular mechanisms of Huntington disease pathogenesis and development of novel therapeutics. Using the wide network
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In the appointment of CGPS Governance Intern, your general duties and responsibilities will be: Assisting with the development of the College’s annual governance calendar, including coordinating
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projects in the intersection of deep learning and bioinformatics. Establishes the design and development of research methods, data collection and analysis, and the interpretation of results. Oversees and
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Assistant supports CICADA’s (Centre for Indigenous Conservation and Development Alternatives) interdisciplinary research mandate, which centers on Indigenous knowledges, environmental conservation, and
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academic articles. Review and analyze the websites of approximately 200 emerging city development projects to identify the rhetoric used to legitimize and promote these initiatives. Gather academic articles
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medical device research project in collaboration with Li Ka-Shing Knowledge Institute (St. Michael’s Hospital) and Institute for Biomedical Engineering, Science, and Technology. This initiative is supported
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in artificial intelligence (AI) and/or machine learning. · Ability to support grant applications and ongoing research project development as well as prepare manuscripts, policy briefs, technical
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at the McGill School of Social Work are seeking a graduate-level research assistant to support activities relating to the Lab’s Dialogue McGill grant. Simulation-related research tasks may include the development
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to provincial and global leadership in ethical digital health innovation. Key Responsibilities The postdoctoral fellow will: Lead development and validation of NLP models using real-world clinical communication