Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- Dalhousie University
- Nature Careers
- Ryerson University
- Universite de Sherbrooke
- University of Saskatchewan
- University of Waterloo
- Université Laval
- Carleton University
- Institut national de la recherche scientifique (INRS)
- National Research Council Canada
- SAIT Polytechnic
- Simon Fraser University
- The University of British Columbia (UBC)
- University of Guelph
- University of Victoria
- 8 more »
- « less
-
Field
-
objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
-
Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
-
and/or contractors as required to conduct interpretation of camera sensor data. Schedules, organizes and facilitates project meetings, including tracking and following up with project team members
-
, lists, maps. Program structure: control flow, functions, classes, objects, methods. Algorithms and problem solving. Searching, sorting, and complexity. Unit testing. Floating-point numbers and numerical
-
. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
-
, Uv-Vis) Digital Pressure and Temperature Sensors Separator test equipment Dehydrators and Mercury -free gas compressors Track Consumables, Ordering Materials Track all consumables used in the execution
-
lead and support research and development of algorithms for automated wildfire detection, tracking, and alerting systems using real-time or near-real-time data. Integrate systems with UBCO’s backend
-
, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
-
digital communication protocols, and applying advanced Digital Signal Processing (DSP) and Machine Learning algorithms on embedded systems. The Research Assistant 2 will report to the McGill Principal
-
. Responsibilities include (but not limited to): Lead the development of the NC-ARPES technique (hardware, post-processing algorithm, theory, data interpretation) Propose and perform new TR-ARPES studies of quantum