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-year co-op diploma program in which students will learn how to design and manage construction, infrastructure and research projects. Through hands-on learning students will apply computer-aided design
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: Excellent working knowledge of medical lab procedures and adapt easily to change and espouse continuous quality improvement with a strong focus on student success and satisfaction. Proficient computer skills
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& Abilities: Excellent sonography skills Proficient computer skills Strong communication and interpersonal skills; demonstrated professionalism Ability to work independently and as part of a team Ability to
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
- Advanced Methods in Forensic Biology Course Description: This advanced course explores the methodologies and data interpretation of forensic DNA typing, and other forensic biology techniques. The course will
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services. Well-developed research skills. Cultural competency, especially knowledge of and experience working in Indigenous communities. Knowledge of student-related computer applications (Ex. Student portal
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applications present in Laboratory Medicine and Pathobiology. Students will become familiar with fundamental concepts of biostatistical methods and their application to real research problems. The concepts
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communication, presentations, teamwork, job search packages, networking, interpersonal skills, and research methods. Good computer skills and experience teaching technology-enhanced courses are required
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well as expenditure minimization problem, welfare evaluation of economic changes, regression analysis and ordinary least squares. Estimated course enrolment: 30 Estimated TA support: N/A Class Schedule: Monday 17:00-19
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specimens; making solutions Optimize and develop new methods/techniques for embalming Box cadavers for shipment to distributed sites, VGH workshop sites, or funeral home for cremation Assist instructors
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issues in authenticity. Estimated Course Enrolment: 60 students Estimated TA Support: 70 hours Class Schedule: Mondays 11:00am - 1:00pm (In Person) *Please note that the delivery method for this course is