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. Teaching Qualification Requirements (TQRs): Education PhD in Second Language Education or related area (in exceptional cases, PhD candidates and master teachers with an MA and extensive relevant experience
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
Analysis), CPSC_V 340 (Machine Learning and Data Mining), CPSC_V 416 (Distributed Systems), CPSC_V 425 (Computer Vision), CPSC_V 427 (Video Game Programming), CPSC_V 436C (Cloud Computing) and APSC_V 160
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.); Participate in the organization, distribution and oversight of the work of research assistants involved in an assigned research project; participates in their training; Draft publications for peer reviewed
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appointees and trainees located within each of British Columbia’s Health Authorities. The VFMP is one of five distributed sites in the Faculty of Medicine’s MD Undergraduate Program. The VFMP provides
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completion of tasks is high. The College of Nursing is a distributed college with programming and sites across Saskatchewan, which will require the incumbent to have strong communication skills (e.g. verbal
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candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching
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candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching
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(OSOT) Student Services Manager provides strategic management and operational leadership for all admissions processes from recruitment to registration for the Master of Occupational Therapy (MOT) Program
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Salary: $11,479/course ($5,739.50 to co-teach) Teaching Qualification Requirements: Minimum of master's degree, PhD preferable, in related area of study Experience: Minimum of 2 years of teaching
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of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software