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and postdoctoral fellows, and teach undergraduate and graduate courses in the Earth sciences. Although we recognize that candidates may have varying levels of teaching experience, a willingness to
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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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. The Department of Natural Resource Sciences (NRS) (https://www.tru.ca/science/programs/nrs.html ) is seeking to hire a Tenure-Track Assistant Professor in the area of wildlife management/conservation
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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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candidates who would be able to teach undergraduate courses on topics that may include psychopathology, psychotherapy, clinical science, mental health psychology, addictions, social determinants of health and
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at significant conferences; awards and accolades; and strong endorsements from referees. The successful candidate must be able to teach a broad range of undergraduate courses in South Asian history and be
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Phase 5 listed above will be given priority, we may also consider applicants who are not fully qualified but show an interest in learning and developing their skills. Successful applicants who do not
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learn from other Black educators in a healing, empowered, culturally responsive, affirming, and sustaining space. The content of the course explores historical and current realities of Black educators
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
Job Summary & Key Responsibilities One or two Part-Time Academics are needed to teach two sections of COMM 4125 Taxation in the Fall term from September to December 2026. Both sections are scheduled