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the pool area; work is performed at various heights up to approximately 50 ft., some of which is performed using large specialized equipment, such as, genies and man-lifts. Replaces or repairs other non
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large-scale experimental testing of reinforced concrete, precast concrete, structural steel, and other structural systems. Research outcomes support advances in engineering knowledge and practice
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conflict with one’s own - Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications Experience in a large
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Enterprise Data
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Enterprise Data
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research and analytical techniques with the ability to gather, evaluate and synthesize complex and large sets of data.
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of McGill University. Position Summary: Under the general direction of the Senior Director, Engagement Analytics & Annual Giving, the Engagement Analyst is responsible for analyzing large data sets from a
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expertise in security or privacy aspects of computer and software systems. Topics of interest include but are not limited to: cybersecurity, network security, secure distributed computing, language/compiler
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operation of central administrative data centres and telecommunications services. If you’re motivated and passionate about learning technologies and dedicated to improving experiences for today’s student