87 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at University of British Columbia in Canada
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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
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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
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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
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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
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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
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. 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
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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
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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
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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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