Sort by
Refine Your Search
-
. Familiarity with graph databases, medical terminology, and healthcare data. Experience with healthcare common data models and data exchange protocols such as OMOP CDM, FHIR, and others. Knowledge of advanced
-
reflection of a range of clinical theories that inform clinical practice (psychodynamic: object relations; psychoanalytic and attachment theories); systemic/communication; behavioral; humanistic and more
-
knowledge of ethics, social work theories, ethical theories, research, and legal frameworks in Canada and Québec and how they relate to social work practice. At least 5 years of demonstrated social work
-
history of theory and various methodological approaches to L2 teaching and learning is used to promote an understanding of current theory and practice. Estimated Number of Positions: 1 Teaching Assistant
-
McGill University | Edmonton West University Strathcona Place, Alberta | Canada | about 2 months ago
of Music Hiring Unit : Music Research MUTH 101-001: Basic Materials: Western Music Teaching Qualification Requirements: Education M.Mus. or M.A. (Music Composition or Music Theory preferred; in progress
-
years of demonstrated clinical social work practice with individuals and families. Knowledge of the theories and techniques informing clinical social work practice with individual and family systems in a
-
Course Lecturers and Instructors Union (MCLIU)-CSN . Hiring Unit: Department of Educational and Counselling Psychology Course Number-Section and Title (CRN): EDSP 611-001 History, Theory & Best Practice in
-
theory, the process of evaluations of the consultation process and outcomes, critical study of relevant research and practice. Includes problem identification, problem analysis, treatment implementation
-
demonstrated expertise in the development of modern statistical theory and methods, or closely related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience
-
in the field of Statistics. The position, open as of August 1st, 2026, is targeted towards candidates with demonstrated expertise in the development of modern statistical theory and methods, or closely