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experimental methods is expected, and experience with analytical, numerical, or data-driven approaches is considered an asset. Faculty/Department/Unit: Faculty of Engineering Department of Civil Engineering Job
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of learners and the work team. Previous teaching experience is an asset but not required. Intermediate computer skills with a working knowledge of word processing, spreadsheet applications, industry related
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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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recording experimental data in shared databases or electronic notebooks Preparing laboratory equipment, and assisting with set up including arranging service and maintenance when needed Preparing reagents
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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
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: LORIS is a web-based data management software designed at the McGill Centre for Integrative Neuroscience (MCIN). The candidate will be contributing to the development and maintenance of LORIS and
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: Department of Psychology Position Summary: Collect, analyze and organize data sets on academic articles relevant to the project Assist with the setup and preparation of datasets for a computerized AI-based
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address issues arising from studio, computer and classroom facilities and ensure Health and Safety QUALIFICATIONS: The ideal candidate will have: A current Tenured or Permanent Teaching Stream appointment
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advisors through one-on one appointments, drop-ins, group advising sessions, or other programming. The Front Line Advisor participates in AARO team meetings to share information, enhance the quality