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or professional experience in the relevant field; experience in teaching undergraduate law students in a bilingual environment. The University may, at its discretion, designate the person of its choice to teach
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respect to the legal environment as related to Canadian public administration and the public sector. • Demonstrable expert knowledge of ethics, ethical theories, research and legal frameworks in Canada and
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to GMP production environments, and collaborating with cross-functional teams. In some instances, the Engineer will also supervise junior staff who are conducting research. The Research Engineer will work
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of the cyclical operations for both Student Housing and Conferences and Accommodation. In addition to the day to day responsibilities of the front desk the duties and environment vary according to the time of year
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to creating and maintaining an inclusive and equitable work environment for all members of its workforce. An inclusive work environment presumes an environment where differences are accepted, recognized, and
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printing is an asset). Ability to problem solve and work under pressure. Ability to work in a team environment. Previous library work experience is an asset but not required. MRU students are encouraged
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems
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knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems