Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Toronto
- McGill University
- Dalhousie University
- University of Saskatchewan
- University of Waterloo
- BioNano Lab
- Carleton University
- Institut national de la recherche scientifique (INRS)
- Nature Careers
- Ryerson University
- Simon Fraser University
- University of Guelph
- 3 more »
- « less
-
Field
-
. 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
-
the research functions in Data Analytics and Intelligent Systems. The Research Associate will be responsible for the following duties: Developing the research strategy and plan of the Urban Data Lake. Planning
-
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
-
Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 273 - Course Title: Introduction to Computer Systems Course Number: COMP
-
Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Software Engineer, IoT Department UBCO | Research Support | Bourbonnais | Department of Earth
-
bio-resource engineering. This position strengthens the research functions in Data Analytics and Intelligent Systems. The Research Associate will be responsible for the following duties: Developing
-
, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
-
Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 17 days ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning
-
record of developing and implementing novel machine learning (ML) and deep learning (DL) algorithms in healthcare, exercise sciences, or other spaces. Extensive experience in utilizing ML libraries such as
-
developments in the areas of minimally invasive joint replacement, improved bone healing, advanced techniques in spinal surgery, innovative arthroscopic techniques, and improved biomaterials and implants