1,037 coding-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Canada
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) Description: Course Code: KPE321H: Population Health Course description: This course explores patterns of health and illness among groups (populations) of people. Emphasis is on the determinants of health
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) Description: Course Code: KPE324H: Advanced Sport Psychology Course description: This course will examine the most effective means by which individual and team athletic performance can be enhanced. The focus
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) Description: Course Code: KPE363H: Sports Medicine Course description: This course builds on knowledge of anatomy and biomechanics acquired in earlier courses to develop a systematic understanding of risk and
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) Description: Course Code: KPE429H: Sport Management Course description: This course will introduce students to a variety of management concepts related to managing the business of sport, with a particular focus
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the release management process. Core Duties - Designs, develops and programs custom software, defines detailed application specifications, standards, and diagrams and develops coding logic flowcharts
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, selecting the appropriate course(s): https://cupeha.utm.utoronto.ca/dept/arcla/app/sl You will be asked to upload a cover letter and CV for consideration. For questions, please contact: sessionals
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complete your applicant profile before applying. Applications must be submitted at the following URL, selecting the appropriate course(s): https://cupeha.utm.utoronto.ca/dept/arcla/app/sl You will be asked
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at: https://careers.usask.ca/tips-for-applying.php Criminal Record Check: Yes Driver's License and Abstract Check: Not Applicable Education/Credential Verification: Not Applicable Vulnerable Sector Check: Not
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opportunities for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity https
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates