87 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions at University of British Columbia
Sort by
Refine Your Search
-
candidates with strong backgrounds in computational neuroscience and machine learning. Applicants must hold a Ph.D. in Computer Science, Neuroscience, Biomedical Engineering, Applied Mathematics, or a closely
-
Location: Ottawa, Ontario Value: $55,567 (part-time Postdoctoral Fellowship) For further information on the organization, please visit Global Affairs Canada For further information on the program, please
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department UBCO | Faculty | Department of Computer Science, Mathematics, Physics and Statistics | Irving K. Barber
-
As of spring 2025, the Banting Postdoctoral Fellowships Program has concluded and is no longer accepting applications. As the most prestigious postdoctoral award in Canada, the Banting Postdoctoral
-
projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
-
. The fellow will be supported to apply for grants to extend work in this field. The position is a 1-year funded role, supported by the UBC AI & Health Network (https://aihealth.med.ubc.ca/). There is potential
-
The Society offers postdoctoral fellowship grants to unusually promising recipients of M.D., Ph.D. or equivalent degrees when it appears that the program of training to be supported by the grant
-
Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
-
www.icord.org for more information. Additional information about Dr. Krassioukov‘s laboratory can be found at: http://icord.org/researchers/dr-andrei-krassioukov/. Work Performed: The postdoctoral fellows
-
are seeking candidates with strong backgrounds in reinforcement learning, robotics, control, or autonomous systems. Applicants must hold a Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics