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Masters and PhD level students; Have completed all requirements for a PhD in Health Informatics or Biomedical Informatics prior to appointment. Requirements A doctoral degree (or doctoral degree near
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 5 days ago
investigated. Topics include project estimating, costing and evaluation, organizing and managing project teams, quantitative methods for project planning and scheduling, introduction to computer-based project
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pm – 5:25 pm) Location: Bronfman Building 151 Teaching Qualification Requirements: Education : MA required. Priority to holders of PhDs with specialization in relevant areas, or near completion
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Permit . Positions Available : Fall 2025 ENGL 295 21C and 20C Literature and Culture (3 credits – CRN 3146) Salary: $ $11,479 Teaching Qualification Requirements (TQRs): Must be ABD or hold a PhD in
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, students will be introduced to tools and techniques used in the study of Earth processes including GIS. QUALIFICATIONS PhD in Geography, Environmental Studies, or discipline sharing similar quantitative data
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
Qualifications/Requirements of Position Candidates must hold a graduate nursing degree (PhD preferred), or related field, plus have relevant teaching experience and in-depth knowledge in the subject area
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home with administrative and faculty offices, an on-site Library, student computer facilities, study space and a classroom. ABOUT THE RESEARCH: The CIRHR at the University of Toronto invites applications
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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skills) *: PhD. Education/experience requirements*: PhD. Additional qualifying skills and abilities*: Strong analytical research skills to gather, document, and analyze information obtained through
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: Department of Electrical & Computer Engineering Term: Fall 2025 Course subject code: ECSE 444 Course Title: Microprocessors Course Credits: 3 credits Location: WONG 1020 Schedule: Wednesdays: 6:05 pm-8:55