95 machining-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada
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supervision. Qualifications: Masters in Civil Engineering Ability to use scientific instruments and machines Ability to apply critical thinking to laboratory procedures. Ability to observe, collect, and record
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: The TA is expected to have strong Python skills and familiarity with data analytics and machine learning. Prior experience with text analytics, NLP, language models, or related methods is particularly
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Humanities, Information Studies, or a closely related field. Demonstrated knowledge of language technologies, machine translation, generative AI, multilingual communication, or related digital communication
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of equipment in milk house (e.g. pipeline, milking machines, bulk tank, compressors, containers of cleaning solutions and sanitizers), pumps, ventilation fans, silos, conveyors, feed carts, skid steer etc
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. This includes a range of computer programs and applications, including but not limited to: Microsoft Office (Outlook, OneDrive, Teams, Bookings, Forms, Word, Excel, PowerPoint and Power Automate), Workday, Banner
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of Computer Science Course Title: Machine Learning in Genomics and Healthcare Course Code: COMP 565 Estimated Number of Positions: 3 Total Hours of Work per Term: 90 Hiring unit: School of
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of computers, presentation equipment, video, and audio equipment General knowledge of common computer software Familiar with asset management software is an asset Reliable, punctual and professional with good
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towel supply) as required Modify schedule of health care providers as needed. Other Qualifying Skills and/or Abilities Customer service experience is an asset Strong computer skills (Microsoft Office
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competitive labor market. Primary Responsibilities: Deliver one-on-one coaching to students preparing for technical interviews. Conduct mock technical interviews covering coding, analytics, machine learning
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have: A Bachelor’s degree in Computer Engineering, Electrical Engineering, Cybersecurity, or related area. A Master’s degree or a Doctoral degree in Computer Engineering, Electrical Engineering