Sort by
Refine Your Search
-
Country
-
Employer
- National Research Council Canada
- The University of Auckland
- CSIRO
- La Trobe University
- Queensland University of Technology
- Wrocław University of Science and Technology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- University of Southern California
- University of Texas at Austin
- Utah Valley University
- Walters State Community College
- Zintellect
- 2 more »
- « less
-
Field
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
, including two years of supervisory experience. OR two years of college coursework and five years of related experience, including two years of supervisory experience. OR one year of college coursework and six
-
of an engineering course in Semester 1, 2027, majoring in either: computer and software systems engineering electrical and aerospace engineering mechatronics engineering mechanical engineering. In
-
someone who shares our core values of Integrity, Excellence, Respect and Creativity. As an experienced AI developer, you will apply your expertise in data science, generative AI, machine learning and
-
of the application deadline. Preferred factors: The selection will value candidates with interest and/or experience in the following areas: a) Demonstrated experience in machine learning and deep learning techniques
-
as required. To learn more about these options, please contact the NRC Hiring team using the contact information below. Build the technology behind Canadian innovation What if your next Dynamics 365
-
candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below. Discover the possible Anything is possible at the NRC, named in 2026 one
-
eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
-
and operations in the following areas: Soil & Groundwater; Deactivation & Decommissioning; Tank Waste; Robotics; Machine Learning; Artificial Intelligence; Cybersecurity; and Advanced Manufacturing