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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
provides hands-on skills on critical design and production suites and platforms used across industries and disciplines, centred on the development of industry-standard creative design. January 1 to April 30
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generally work with the BIC team to maintain foster relevant collaborations with industry. Collaborate with McGill researchers, external users and collaborators, and their teams to support their research
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other sectors, such as government, communities, or industry. McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career
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to build effective partnerships with healthcare organizations, health authorities, Indigenous communities, patient partners, government agencies, non-governmental organizations, and industry collaborators
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, Indigenous communities, patient partners, government agencies, non-governmental organizations, and industry collaborators. • Experience or strong potential to conduct interdisciplinary and community-engaged
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Atlantic Association for Research in the Mathematical Sciences | Saint John East, New Brunswick | Canada | about 23 hours ago
to launch in Fall 2027. Candidates are expected to initiate an active research program that has potential for long-term external funding via Tri-Council grants and/or industry partnerships, and to recruit
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research activity - a place where mathematicians from Canada and abroad, from academia, business, industry and financial institutions, can come together to carry out research and formulate problems of mutual
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and https://ok.ubc.ca/about/indigenous-engagement/ . Eligibility and duties Applicants must hold a doctoral (Ph.D.) degree in a field related to Mechanical or Manufacturing Engineering and either be
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: Course title and code: Waterpower Essentials - APS1410H Course description: This course presents an overview of the waterpower industry, beginning with its ecological and historical contex, how power
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applications & real industry examples. Topics will cover supervised & unsupervised learning, as well as high level workflows from business problem definition down to analysis and integration with business