122 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of British Columbia
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set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working
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to collaborative efforts aligned with translational and commercial development goals, including work supported by the CIFAR Multiscale Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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Human Program and UBC’s Biodevice Foundry. Qualifications PhD in immunology, developmental biology (focused on the immune system), immune-engineering, or a related field (obtained within the last 5 years
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. To support this effort, the NOMIS Foundation and GIND have established the NOMIS–Gladstone Fellowship Program, which aims to teach outstanding postdoctoral scholars how to creatively combine leading-edge
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environments (namely the Surrey Memorial Hospital NICU-partnering with Ronald MacDonald House). There would be opportunities to work closely with experts and students in the fields of human-computer interaction
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At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily