Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Waterloo
- Canadian Association for Neuroscience
- University of Toronto
- Universite de Moncton
- Dalhousie University
- National Research Council Canada
- Ryerson University
- European Magnetism Association EMA
- SAIT Polytechnic
- University of Lethbridge
- University of Saskatchewan
- 3 more »
- « less
-
Field
-
cleaning, statistical analysis, and computational modeling. Other duties may include assistance in the preparation of research documents and reports. The student will use Stata and Matlab to assist
-
network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
-
basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
-
skills, including experience with large datasets, statistical modeling, and computational tools (e.g., Python, MATLAB, R). Excellent communication and collaboration abilities with the ability to present
-
REDCap Basic level of computer programming in any language, interest in learning more (e.g., MATLAB) Proficiency with computer programs, including Microsoft Office, Adobe Acrobat, etc. Experience with
-
/nanofabrication, l’électronique de puissance, l’encapsulation et l’intégration électroniques. • Expérience avec les outils de simulation numérique et les outils de calculs : Ansys HFSS, Matlab etc. • Fort intérêt
-
) Qualifications Knowledge of python or matlab Basic statistical knowledge, e.g., linear regression, Fourier analysis, statistical significance, etc. Before applying, please note that to work at McGill University
-
numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc. • Strong interest in multidisciplinary, application-driven research with desire to innovate and pursue advanced research. •Highly
-
to extract operational and energy data. Knowledge of custom programming for data analysis (e.g. Python, MATLAB, R, Excel macros), and use of advanced statistical techniques (e.g. multivariate analysis, time
-
background in micrometeorology, soil physics, environmental instrumentation and use of programming languages like MATLAB and R. A valid driver’s license is preferred. Funding details The grant allows for a