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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 18 hours ago
Columbia, Canada. Please refer to reference number EU-59093 during correspondence about this position. Equity and diversity are essential to academic excellence. An open and diverse community fosters
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. This position is ideal for candidates passionate about applying AI to real-world healthcare problems in cancer diagnostics and digital pathology. Organizational Status The successful candidate will report to
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@ECItorontomet (external link) on X, and visit our LinkedIn company page (external link) . About the program/department/team The Department of Physics (https://www.torontomu.ca/physics/) has a very active
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member of one of these groups and complete the Employment Equity (EE) section of the application. If you would like to learn more about self-declaration, please consult this website: https://www.canada.ca
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process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Your Responsibilities Develop and implement your research project Build up your own research
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and learning environment for all our students, faculty, and staff. To learn about the Irving K. Barber Faculty of Science, go to https://science.ok.ubc.ca/ . For more information about UBC resources
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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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funding availability. Questions: If you have any questions about the positions or the application process, please send contact ali.bashashati@ubc.ca & h.farahani@ubc.ca . Review of applications will begin
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series, and organize an annual retreat for local universities (https://ecoevoretreat.wordpress.com/ ). Postdoctoral fellows funded by the Biodiversity Research Centre typically interact with several lab
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates