Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Toronto
- McGill University
- University of Saskatchewan
- University of Waterloo
- Canadian Association for Neuroscience
- Dalhousie University
- Ryerson University
- SAIT Polytechnic
- National Research Council Canada
- Nature Careers
- Northern Alberta Institute of Technology
- Mount Royal University
- Queen's University
- Thompson Rivers University
- University of Guelph
- University of Northern British Columbia
- 7 more »
- « less
-
Field
-
knowledge of Sketchup and AutoCAD, knowledge of Revit and GIS would be an asset Ability to work both independently and within a team environment Passion, enthusiasm, and ideas that will positively contribute
-
Python, Ruby, Javascript, and Unix/Linux shell Demonstrated experience and ability in building application software using web frameworks, and troubleshooting web applications Ability to communicate
-
JavaScript (React/TypeScript), Python, Postgre, Docker and more. Short development cycles will involve small but frequent releases, and constant interactions with the bioinformatics platform team members
-
achievement of the research, policy development and knowledge mobilization objectives outlined in the HART research plan. WORK PERFORMED Oversees and participates in GIS-focused data collection, analysis and
-
MATLAB and Python. Demonstrated experience in publishing in the peer-reviewed literature, both as first-author and as a substantive contributor to team / multi-author publications. Demonstrated experience
-
environment including with science team members on active planetary missions. Demonstrated experience in research design and execution including coding in MATLAB and Python. Demonstrated experience in
-
expertise with programming skills in VBA and Python Strong comprehension of Discrete Event Simulation, ideally using the Arena Software Familiarity with the iron ore industry, as well as a basic understanding
-
practical basic algorithms and data structures in practical implementation experience. High-level programming languages (e.g., Python), proficiency in multiple languages is preferred. Preferably with medical
-
, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
-
proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging