831 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at McGill University in Canada
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: - Research the activity and mode of action of the pantetheinamide derivatives - Presentation of data - Collaboration within the group Qualifications: PhD in Chemistry Before applying, please note that to work
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such as Computer Science, Software Engineering, and other related fields Knowledge of Python is considered an asset Solid command of the English language Knowledge of McGill campus and resources Ability
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candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons
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productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record. McGill implements an employment equity program
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work experience in AEC (architecture, engineering and construction) industry. Experience working in architecture firms is an asset Familiarity with key stakeholders and topics pertaining to the DER
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the Department of Electrical & Computer Engineering for the Winter 2026 semester. These positions are open to McGill University students only. Hiring Unit: Department of Electrical & Computer Engineering
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of Computer Science Exam Period: COMP206 - 29APR2026 (2pm-5pm) MCMED 522 and LEA 132 COMP273 - 29APR2026 (9am-12pm) MCMED 334/335 COMP302 - 27APR2026 (9am-12pm) LEA 132 and LEA 232 COMP330 – 16APR2026
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networks, machine learning, Markov models and other computational approaches to biology are important. Familiar with analysis and data visualization. Enrolled in an undergraduate degree. Location
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: Desautels Course Title: Advanced Topics in Management Science 1 Course Code: MGSC 695 Estimated Number of Positions: 2 Total Hours of Work per Term: 90 Hiring Unit: Desautels Course Title and Course Number
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning