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Optimization, the Data Governance and Process Optimization Officer supports the development and execution of data governance and process optimization initiatives for University Advancement (UA). The role
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of McGill University’s energy measurement network, which includes more than 400 electric and flow meters integrated into centralized software. The network supports building energy analysis, the optimization
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profile. Course Title and Course Number: ECSE 507: Optimization and Optimal Control; Prof. Benoit Boulet - 29 hours Salary: $17/h Hourly Salary: $17.00 Position Start Date: 2026-01-07 Position End Date
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restructuring requirements and implementing comprehensive change‑management strategies Conducts resource optimization assessments through staffing audits, interviews, needs analyses, and surveys; designs and
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. The role will involve helping with the improvement of software features, optimizing existing tools, and ensuring compliance with research data standards. Primary Responsibilities (but are not limited
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 days ago
Summary: In the weeks before the lab course: Culturing of cells and perform and optimize one lab experiment During lab course: Be present from 9 am until students are done with the lab work Supervise and
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, execution, and optimization of proactive, strategic, and data-informed marketing efforts in support of the School of Continuing Studies’ mission and objectives. Primary Responsibilities: Contribute marketing
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collaborative research on GaN nanowire growth using metal‑coated substrates, encompassing substrate preparation strategies, optimization of metal layer properties, and literature‑informed replication
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candidate will contribute expertise in polymer chemistry, powder metallurgy, carbon materials, and green chemistry to develop and optimize binder chemistries aligned with low‑carbon processing. A key
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms