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TEACHING QUALIFICATION REQUIREMENTS : Education Ph.D. in Computer Science * Experience Expertise in content area of the course. Previous experience as an instructor or teaching
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Staff position in computational genomics "omics" (i.e., genomics, epigenomics, and/or proteomics). This is a three year, renewable appointment at the rank of Assistant or Associate Professor (Research
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currently do not hold a TAship or do not have a profile in Workday: please apply externally using an external email address (do not use your @mail.mcgill.ca). Hiring Unit: School of Computer Science Course
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: Desautels Faculty of Management Position Summary: Providing support to Students and Professors as well as maintenance of Faculty computer labs. Other Qualifying Skills and/or Abilities • Providing support in
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out of the GIS Day, and other events by the GIC Assist in GIS and RS projects assigned by the GIC director Ensure the GIC is clean and welcoming (e.g.: front desk area, computer areas, printing areas
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the broader technical support team with troubleshooting and implementation tasks. Maintain websites Other Qualifying Skills and/or Abilities: Basic knowledge of computer hardware and software Familiarity with
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: Computational and Data Systems Initiative (CDSI) Position Summary: Provide technical support to one or more faculty members and instructors for in-person and/or remote delivery. Includes but is not limited
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activities, including summer program - Maintains communication among faculty and students 2. Organization: - Organizes and provides support to annual Summer Program and Advanced Study Institute - Organizes
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-Computational Linguistics (3 credits) Please note this course is cross-listed with COMP 445. This course is also cross-listed with LING 645: Computational Research on Language. Posting dates: August 7th - August
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 7 hours ago
aspects of our research program, such as performing headcap surgeries on the animals, developing new stimulation protocols that better mimic the self-motion experienced during everyday life, performing