195 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Canada
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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
begin following the closing date of the competition. Applications will be submitted through PeopleAdmin. For questions, please contact dfmadmin@dal.ca or visit http://family.medicine.dal.ca for more
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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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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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machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics
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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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differences are accepted, recognized and integrated into current structures, planning and decision-making modes. To learn more about UBC’s Centre for Workplace Accessibility, please visit their website https
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Prepare and submit scientific manuscripts, posters and presentations for the ZIKV-IPD-MA-2S study accordingly Attend relevant workshops and conferences as necessary Learn new skills and contribute to other
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data