407 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at McGill University
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Biodiversity Observation Network (CAN BON). This position is a unique opportunity to be at the forefront of a national initiative to mainstream biodiversity data and knowledge into every sector of the Canadian
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must have attended a construction safety course. Written English and French functional spoken and read, English or French functional written. Additional Information: Status: Full-time Hours of Work
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: Department of Integrated Studies in Education (DISE) Course information: Course Title and Course Number: EDER 615-002 - Introduction to Philosophy of Education: Explores questions, aims, debates and modes
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: Department of Integrated Studies in Education (DISE) Course information: Subject code & course title: EDEC 612. Digital Media and Learning. This course addresses emerging theories, pedagogies, and practices
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: Department of Integrated Studies in Education (DISE) Course information: Subject code & course title: EDEC 253-002 - Second Professional Seminar Elementary Preparation for the second field experience through
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data from log sheets into computer using DSA Laitier and DelPro software. Collects data for research trials and ensures accuracy of records. Liaises with Animal Science Coordinator (Dairy) to ensure
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before outside tribunal/agencies (Access to information, OQLF). 10. Litigation involving University Advancement: Direct outside legal counsel, in consultation with the University’s Legal Department
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contact information of three referees. Use a personal email address when creating an account in Workday to submit your application. Do not use @mail.mcgill.ca or @mcgill.ca email accounts to apply. McGill
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for service to the academic community; The names and contact information of three referees Use a personal email address when creating an account in Workday to submit your application. Do not use @mail.mcgill.ca
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experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve