Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of British Columbia
- McGill University
- Ryerson University
- Mount Royal University
- University of Saskatchewan
- SAIT Polytechnic
- University of Calgary
- University of Waterloo
- Centre d'innovation biomédicale - Université de Montréal
- Universite de Sherbrooke
- University of Guelph
- University of Toronto
- 2 more »
- « less
-
Field
-
. · Analyze, integrate, and interpret genomic, transcriptomic, proteomic, imaging, and other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization
-
; coordinating with national partners and stakeholder organizations across Canada; assisting with planning and delivery of a national symposium; conducting quantitative and qualitative data analyses; preparing
-
-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
-
accurate records of all program related data including number of students attending the labs, total scheduled hours in the GAL, uses of cadaver and/or prosected material. This data will be essential at year
-
researchers are well supported and for the smooth day-to-day operations of the biobank. You will be working together with a dynamic team, including laboratory technologists, clinical informatics and data
-
areas of Statistical Sciences including theoretical, applied, data science, mathematical finance, actuarial science, and related fields. Description of duties: The successful candidates will conduct
-
: Assist in participant recruitment and data acquisition, as well as manage day-to-day operations for a new study launched in September 2025 Assist in data management and cleaning using statistical software
-
data. The quality of work performed will determine the success of future projects and funding. Exercising poor judgment and lack of appropriate consultation with research team members and supervisors
-
medicine Document and report research progress Attend individual and group meetings Qualifications: MSc in Data Science Start Date : 2026/09/01 End Date : 2027/04/30 Number of Work Hours per Week: 31.5 hrs
-
Principal Investigator and team to develop relevant system for presenting research data Assist with analysis of archival data Attend team meetings (virtual) Communicate with other RAs Opportunity to assist