458 education-technology-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in canada
-
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
-
: 9:00 am - noon Location: Chisasibi (731); Mistissini (741) Travel from Montreal, taxi/mileage, accommodation and per diems are covered by the Office for instructors who require it. Teaching
-
details 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
-
. Minimum qualifications: MA or MFA (or equivalent graduate degree) required with previous teaching experience. Strong exhibition history and currently exhibiting artist. Applicants may be asked to supply
-
for instructors who require it. Teaching Qualification Requirements (TQRs): Education A Master’s degree (in exceptional circumstances applicants without a Master’s degree but with significant research
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
or nearly complete. Exceptional candidates with a Masters in Statistics will be considered. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience