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scheduled office hours for academic counseling of students Application instructions: Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees
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information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located
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for academic counseling of students Application instructions: Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters
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curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE
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office hours for academic counseling of students Application instructions: Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two
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office hours for academic counseling of students Application instructions: Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two
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information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located
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instructions: Applicants must submit by email a detailed letter of application; an updated curriculum vitae; and the CUPE 3902 Unit 3 application form located here: https://uoft.me/CUPE-3902-Unit-3-Application
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, simulation, and guidance systems, and onboard electronics with an emphasis on aerospace applications. Start Date: July 1, 2026 We acknowledge and respect the Lək̓ʷəŋən (Songhees and Xʷsepsəm/Esquimalt) Peoples
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data