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and above the minimum qualifications, preference will be given to individuals with prior graduate teaching experience in this area. Description of duties: Prepare, organize, and teach this half-course
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international collaborators to gain insight into how cancers initiate, develop and acquire resistance to treatment. More information on the department and research we conduct can be found here https
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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sectors and borders, and translate their research into applications and impacts that benefit Canadians and the world. The Faculty of Engineering (http://www.mcgill.ca/engineering ) and the Trottier
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and artificial intelligence models. Conduct literature reviews related
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
, Nova Scotia, Canada Job Summary & Key Responsibilities A part-time academic is required to teach HIST 1505.03 A Global History of Capitalism in the Winter 2027 Term (1 January to 31 May, 2027). Course
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
administering the course, including preparing and delivering lectures and preparation and grading of assignments. The course will be taught using Brightspace (LMS- learning management system) and in-person
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously