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. Please note: Carleton University encourages applications from all qualified candidates. Job Number: J0424-0147 Job Title: e-Learning Designer Job Type: Term Full Time Department: Teaching Excellence and
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variety of academic, community and practitioner partners to develop relationships and achieve research goals ● superior written and verbal communication skills, including public speaking and presentation
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ability to develop a therapeutic relationship with the student. • Sensitivity and an unbiased approach is critical. Capable of working independently but also has experience working in a shared care model
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the natural and social sciences. We anticipate the opportunity to develop joint projects and papers with the Chair while collectively working to generate the evidence base needed to address complex
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beginning July 1st , 2024. A candidate with a specialization in psycholinguistics or first language acquisition with secondary specializations in morphology or syntax is preferred. This is a teaching position
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software, enterprise software, and technology devices • Knowledge of cultural competency and diversity in a business context Education and Experience: The above is normally acquired through the completion
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of Assistant or Associate Professor beginning 01 July 2024. Candidates must demonstrate excellence in teaching, design, research, or professional practice appropriate for the level of appointment and demonstrate
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University operating procedures. Education and Experience: The above is normally acquired through the completion of: • Three-year university degree. • Minimum of three years administrative experience in a post
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anthropology at the rank of Instructor I beginning July 1, 2024. This is a teaching position with a load of 3.0 credits per regular academic year. There are no research expectations associated with this position
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of renewal for a second year. The candidate will be expected to teach primarily undergraduate courses in French linguistics, with possible occasional teaching assignments in the area of research methodology