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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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to established facility standard operating procedures (SOP). Collect and analyse both LC/MS and GC/MS data as per SOPS; Record all work in electronic lab notebook (ELN) as per SOP; Ensure that all collected data
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lecturer; Assist students learning; Effectively communicate with students; Respond to student inquiries by email, myCourses, Microsoft Teams or Zoom. Online course management including leading discussion
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. Use a personal email address when creating an account in Workday to submit your application. Do not use @mail.mcgill.ca or @mcgill.ca email accounts to apply. Before applying, please note that to work
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computer applications and tools related to the field of communications (Microsoft Office, web, social media, etc.), as well as databases and presentation software. English and French, spoken and written is
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of tutorial and hands-on computer modelling sessions. Qualifications: Requires public speaking ability. Open to graduate students only with excellent knowledge of rock mechanics and numerical modeling
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. Priority will be given to students enrolled in a graduate program in Earth and Planetary Sciences. Use a personal email when creating an account to submit your application. Do not use @mail.mcgill.ca
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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
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methodologies Other Expert knowledge and technical ability in music technology concepts, with strong background in MIDI, Arduino and audio effects programming, experience with building electronic devices and
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personal email address when creating an account in Workday. Refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. Required Documents The application package