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APTPUO - Automne -ST-PT- HSS

Job in Ottawa, Ontario, Canada
Listing for: University of Ottawa
Part Time position
Listed on 2026-06-14
Job specializations:
  • Education / Teaching
    Data Scientist, University Professor, Academic
Job Description & How to Apply Below
Position: APTPUO - Automne 2026-ST-PT- HSS2781C

Description

:

Analyse quantitative des données en sciences de la santé: variables continues (2.5,0,1) 3 cr
Introduction à l'analyse des variables continues. Applications de statistiques descriptives et inférentielles aux données en santé intégrative en biosciences, comportementales et cliniques. Utilisation d'applications informatiques pour analyser, gérer et présenter des données scientifiques. Accent sur la probabilité, la régression linéaire, l'ANOVA et les méthodes non paramétriques.
Volet :
Laboratoire, Cours magistral
Les cours HSS 2781, APA 3781, PSY 2506, PSY 2516, MAT 2771, MAT 2775, MAT 2779 ne peuvent être combinés pour l'obtention de crédits.

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/07

Applications must be received
BEFORE (YYYY/MM/DD):

2026/06/08

Expected Enrolment:

140

Approval date:

2026/05/07

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 )

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Régulier / Regular

Language of instruction:

Français | French

Competence in second language:

Passive

Course

Schedule:

Mardi | Tuesday 14:30-17:30 Mardi | Tuesday 13:00-14:00 - Cours :
Présentiel. le 2eme horaire est celui du laboratoire.

Requirements:

_ Maîtrise, spécialisation en sciences de la santé (ou équivalent), en statistiques ou en méthodologies quantitatives.
_Enseignement au niveau universitaire
- Formation dans les domaines suivants : statistiques de la santé, de l'utilisation de logiciels statistiques, la recherche en santé.

Mode d'instruction: EN PRESENTIEL. Laboratoire: hybride

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.

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