224 education-technology "https:" "https:" "https:" "https:" "https:" positions at University of Toronto in canada
-
://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood
-
''special'' but is effective teaching that benefits all the students in the class. It focuses on adapting instruction to meet the diverse needs of the students in the class. The course will concentrate on how
-
''special'' but is effective teaching that benefits all the students in the class. It focuses on adapting instruction to meet the diverse needs of the students in the class. The course will concentrate on how
-
will explore what it means to be a practitioner researcher in educational institutions and community-based organizations. This course is intended for MA and PhD students interested in exploring
-
for two references (preferably academic), evidence of teaching in the relevant area (including student evaluations, if available), and the CUPE Local 3902 Unit 3 application form located here: https
-
://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs Apply here: https://hiring.oise.utoronto.ca/sl/sessional_lecturer_jobs This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood
-
finance, valuation and asset pricing Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry
-
global financial institutions Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry experience
-
machine learning methods in finance Prior experience teaching this course (or a similar course) at the university level Ability and experience teaching large classes Preferred qualifications: Industry
-
Mathematical Finance Industry experience in supervised and unsupervised learning modern applications of machine learning Prior experience teaching this course (or a similar course) at the university level