770 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at McGill University
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travel up to 1 hour each way to a host school Minimum 5 years of school-based experience in an elementary and/or high school setting, preferably in Quebec Deep understanding of the Quebec Education Program
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protocols. Build and maintain strong partnerships with internal stakeholders and external collaborators to ensure alignment, integration, and shared success in the delivery of strategic initiatives. Other
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. Advises students on eligibility, deadlines, and procedures, resolving issues and maintaining accurate records. Processes and monitors awards in institutional systems, liaising with internal and external
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of supplies or equipment. Liaise with internal and external service providers to show them the necessary services and repairs which need attention. Verify work and inform supervisor upon the completion of minor
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or relevant discipline. Other Qualifying Skills: Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both
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and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who
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orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and
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the materials science and manufacturing related to steel. The postdoc should have experience in the physics of materials and advanced computing. Qualifications: PhD in related field Annual Salary: $63,500.00
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candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons
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Abilities University degree or equivalent experience in computer science, neuroscience, data science, or a related technical field. Experience with research data platforms or scientific data workflows