Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Alberta
- Ryerson University
- University of Saskatchewan
- Nature Careers
- University of Lethbridge
- Canadian Association for Neuroscience
- Dalhousie University
- The University of British Columbia (UBC)
- University of Toronto
- University of Waterloo
- 2 more »
- « less
-
Field
-
of the investigators. QUALIFICATIONS Completion of a PhD degree in an appropriate field that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical
-
emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding of
-
that has emphasized quantitative analysis skills (epidemiology, public or population health, statistics) with strong statistical methods expertise. Excellent research skills, including a strong understanding
-
on the statistical analysis for multiple projects involving large scale databases from various cohorts, including but not limited to traumatic or hypoxic brain injury, spinal cord injury, Alzheimer’s disease and
-
the catch reconstructions based on the most current fisheries statistics published by the Food and Agriculture Organization of the United Nations (FAO). We are searching for a candidate to join an integrated
-
and experience. The ideal candidate will have: a strong quantitative and statistical background in economics; be comfortable reading substantial amounts of text, have training in econometrics; aome
-
: Marketing Research Assistant Qualifications: Candidate must be an expert with using statistical software R. Candidate must posses advanced knowledge of statistics (preference will be given to students who
-
, or related field. Strong qualitative and quantitative skills including socio-ecological research design, data analysis, statistical analysis and data management. An interest in interdisciplinary research
-
, or related field. Strong qualitative and quantitative skills including socio-ecological research design, data analysis, statistical analysis and data management. An interest in interdisciplinary research
-
for data processing, statistical analysis, and machine learning. The Candidate will engage in research, applying these methods to MEG and EEG data to explore their relationship with structural brain changes