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whose first official language is not that of the majority population in their province or territory (i.e., Francophones outside Quebec and Anglophones in Quebec) to understand, use, and fully participate
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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evaluate NLP models across multiple linguistic and cultural contexts, including low-resource and Indigenous languages, using privacy-preserving and equity-focused AI frameworks. The UBC mHealth lab has a
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research staff within the UBC mHealth Lab Qualifications PhD obtained within the last three (3) years in a relevant field (e.g., Computer Science, Computational Linguistics, Data Science or related
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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communication skills in English. Have extensive research experience of using GaN as photocatalyst for the reaction of methane. Education and Experience: PhD degree in Chemistry, Chemical Engineering, Materials
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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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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Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 22 hours ago
technology. The postdoctoral researcher will also contribute to the development and validation of identified biomarkers and help assess their potential for CVD risk assessment using statistical analysis. As a