174 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of British Columbia
- University of Waterloo
- Dalhousie University
- Natural Sciences and Engineering Research Council of Canada
- Ryerson University
- University of Victoria
- Nature Careers
- STLHE - Society for Teaching and Learning in Higher Education
- Queen's University
- University of Saskatchewan
- Fields Institute
- Institut national de la recherche scientifique (INRS)
- McGill University
- National Research Council Canada
- The University of British Columbia (UBC)
- University of Alberta
- University of Lethbridge
- 7 more »
- « less
-
Field
-
generated. Required Qualifications PhD in neuroscience, developmental biology, or related field Strong expertise in mouse neurodevelopment (mandatory) Skilled in histology, immunofluorescence, and molecular
-
leading edge research into improved substance use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional
-
, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators, and care providers and other allied care
-
, or forest management. Project Overview The postdoc will contribute to the Silva21 research program, which aims to develop innovative strategies to enhance the resilience of Canadian forests in the face of
-
, StrokeCog can leverage CANTRAIN’s online tools, learning-management systems, training programs and its college of mentors. Applicants apply to the StrokeCog fellowship program through the CANTRAIN portal
-
individuals immersed in any academic discipline. Eligibility Fellows will normally have a PhD and a record of scholarly research in an area related to the CSRS mandate. Typical applicants may be retired faculty
-
The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural
-
The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
-
the questionnaire for verification of eligibility. For the role, select Applicant. For the ID field, provide your NSERC PIN or enter Unknown. The program collects self-identification data from all applicants
-
. - A strong research curiosity and the ability to rapidly acquire new technical skills. - Interest in mentoring and team leadership, with opportunities to develop both technical and management