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Cette personne effectuera des analyses multiniveaux complexes, notamment avec des données longitudinales pour évaluer des programmes et interventions. Les tâches vont inclure la modélisation statistique d'hypothèses, la conduite des analyses, et la rédaction des résultats à des finals de publication.
This research associate will conduct complex multilinear models with nested or crossed data, with longitudinal data collected to assess program interventions. Tasks will include translating hypotheses into statistical models, computing the models, and writing up the findings for publication.
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This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].
Skills Required
- Conduct complex multilevel/multilinear models with nested or crossed longitudinal data
- Translate research hypotheses into statistical models
- Perform statistical analyses and compute models
- Write and prepare findings for publication
- Ability to work part-time (2 hours/week) at the Sherbrooke location
What We Do
McGill University is a public research university with extensive research activities across various engineering disciplines, including civil and materials engineering, focusing on areas like construction materials and advanced manufacturing.
