518 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at McGill University
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), the Center for Research Libraries (CRL), and the HathiTrust Digital Library. INFORMATION FOR PROSPECTIVE STAFF Information about the University and the McGill Libraries can be found on the University’s web
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the professors with the field- and lab work, computer analysis, and helps guide the students and student projects in the field and evaluates student participation. - Purchase, gather and transport course equipment
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: (i) Maintain and distribute on-field team equipment (ii) Preparation of game and practice equipment for the team (iii) Record activities during a game and keeping track of statistics (iv) Analyses data
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with quantum optics lab instrumentation and control systems. Ability to develop/use theoretical models to guide experiments and interpret results. Working proficiency with scientific programming/data
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: The Research Associate will oversee and contribute to different aspects of multisite project and other research activities and studies. Position Duties: participant recruitment data aggregation, organization
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Mechanical Engineering Course Title and Course Number: Introduction to Statistics and Data Science - BIEN 203 Estimated Number of Positions: 1 Total Hours of Work per Term: 60 Position Summary: Graduate
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering
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to potentially interested groups and individuals with information about talks. Liaise with undergraduate and graduate students. Other Qualifying Skills and/or Abilities Strong communication and editorial skills
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assistance or information. Creates various other reports when needed. May create sessions, programs and lessons in specific fields. Acts as a resource person to resolve various issues related to student
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equipment ahead of start times Record activities and keep track of statistics during competitions and performances. Analyze data to help identify trends of race/team/student-athlete activity/competency during