177 tracking-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 6 days ago
objectives. Maintain accurate experimental records and prepare research reports, presentations, and manuscripts. Assist with project planning, milestone tracking, and collaborations with research partners
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the full cycle of admissions, including reviewing application files, tracking documents, and updating applicant databases, residency and fellowship programs. Communicates with candidates, program directors
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of the PI Tracks and compiles processed data for analysis Contacts and schedules participants for various studies. Maintains participant spreadsheets and recontacts participants required to come in for follow
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at McGill University invites applications for a full-time tenure-track Assistant Professor position to advance transformational research programs that support the growth of Canada’s global leadership in
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into applications and impacts that benefit Canadians and the world. The Department of Chemistry at McGill University invites applications for a full-time tenure-track Assistant Professor position to advance
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, project teams, and committees. Contribute to strategic initiatives aligned with university enrolment priorities. Track recruitment and selection metrics and provide regular reports. Other Qualifying Skills
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python
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/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python
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Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python, Spark, Docker
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Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python, Spark, Docker