Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Waterloo
- Dalhousie University
- University of Saskatchewan
- Canadian Association for Neuroscience
- Nature Careers
- Ryerson University
- Northern Alberta Institute of Technology
- Mount Royal University
- SAIT Polytechnic
- University of Lethbridge
- Fields Institute
- Pacific Institute for the Mathematical Sciences
- Universite de Sherbrooke
- 5 more »
- « less
-
Field
- Medical Sciences
- Linguistics
- Computer Science
- Economics
- Biology
- Science
- Mathematics
- Engineering
- Business
- Social Sciences
- Chemistry
- Humanities
- Arts and Literature
- Materials Science
- Psychology
- Earth Sciences
- Electrical Engineering
- Law
- Sports and Recreation
- Education
- Environment
- Philosophy
- Physics
- 13 more »
- « less
-
engagement and dynamism, and co-workers who are collaborative, respectful and supportive. The position “Research Assistant - Plant and Seed Technologies” will support the development of methods and technics
-
collection of explanted hearts in Canada. Dr. Wang’s research program leverages biobank human specimens, mechanistic studies, and cutting-edge ‘Omics’ technologies to advance cardiovascular medicine
-
Cardiovascular Biobank, which has the largest collection of explanted hearts in Canada. Dr. Wang’s research program leverages biobank human specimens, mechanistic studies, and cutting-edge ‘Omics’ technologies
-
, plans and prepares research documentation, performs laboratory work, and compiles data. Implements recommended improvements to existing methods of analysis or research. Performs various administrative
-
. Wang’s research program leverages biobank human specimens, mechanistic studies, and cutting-edge ‘Omics’ technologies to advance cardiovascular medicine for patients who suffer from atherosclerotic disease
-
. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
-
transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
-
degree Substantive knowledge in a programming language including R, (PostGre) SQL and Python Knowledge of maintaining a Linux server including data security Advanced knowledge of geospatial data methods
-
Genomics. Work will focus on running existing protocols as well as developing new methods for the detection and characterization of pathogens within environmental specimens. Tasks may include extracting RNA
-
/deep learning methods for biochemical applications to work in a multi-disciplinary team. The applicant will work with a team of biochemists, computational chemists, and pharmacologists and contribute