Sort by
Refine Your Search
-
• University degree (Graduate degree an asset) in an area of health science, technology, social science or education. • Working knowledge of both traditional and online methods of course delivery preferred
-
. Knowledge of primary care and the discipline of family medicine. (Completion of Foundations of Family Medicine, FMED 610, is an asset) Knowledge of research methods and analysis relevant to primary care
-
principles, including Indigenous consultation · Supports qualitative data collection Consequence of Error/Judgement Work may involve simple techniques and methods requiring knowledge and/or procedures
-
related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
-
or Chemistry. Experience with molecular dynamics methods is required. Superior technical writing skills for different audiences and publication. Good interpersonal skills and work habits, such as organization
-
the liability, credibility, and integrity of the Centre. Work may involve simple techniques and methods requiring knowledge and/or procedures that are readily acquired, requiring little judgment; the nature
-
the respective groups. Work Performed Design, optimize and perform complex animal techniques, including surgical procedures (both simple and advanced), sample collection and development of new methods Oversee and
-
conducting literature reviews, and a solid understanding of scientific research methods Technical Competence: Demonstrates familiarity with quantitative and qualitative data analysis software and digital tools
-
critical, Public Humanities methods and scholarship ; Identify a significant knowledge advance that represents a contribution of this scholarly work to the public humanities; Acknowledge that public
-
practices. Data Analysis and Management Analyze existing data sets and update previous analyses using advanced econometric methods, such as instrumental variable regressions, propensity score matching, and