67 informatics-"https:"-"https:"-"https:"-"https:" positions at McGill University in canada in Canada
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of Computer Science Course Title: Operating Systems Course Code: COMP 310 Estimated Number of Positions: 5 Total Hours of Work per Term: 90 Hiring Unit: School of Computer Science Course Number: COMP
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of Computer Science Course Title: Artificial Intelligence Course Code: COMP 424 Estimated Number of Positions: 8 Total Hours of Work per Term: 90 Hiring Unit: School of Computer Science Course Number
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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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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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Qualification Requirements: Education : A graduate degree in computer science, data science, engineering, information systems, or a related discipline; or equivalent substantial professional experience Strong
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Qualification Requirements: Education : A graduate degree in computer science, data science, engineering, information systems, or a related discipline; or equivalent substantial professional experience Strong
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Requirements: Education : A graduate degree in computer science, data science, engineering, information systems, or a related discipline; or equivalent substantial professional experience Strong practical
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Requirements: Education : A graduate degree in computer science, data science, engineering, information systems, or a related discipline; or equivalent substantial professional experience Strong practical