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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 23 hours ago
for Community Archives Support (FOCAS) Internship & Resource Development Project. FOCAS aims to place Master of Library and Information Science graduate student interns into community archives sites while
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of STEM Summer Program - Positions for student monitors Are you looking for an opportunity to share your enthusiasm with STEM curious youth this summer? The School of Continuing Studies (SCS) is looking
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given to those holding a degree in Information Systems. Experience : Prior work experience in a corporate setting, preferably in technology-related areas (e.g., technology firms or technology-related
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of experience in the technology or marketing field. Other : A comprehensive understanding and knowledge of technology, marketing, and analytics is essential. Location ARMST 260 For any questions, please contact
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and equipment use, as well as policies and procedures. (ii) Collects and enters data into established inventory databases. (iii) Performs basic computer equipment maintenance and ensures proper
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to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing
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Field of Study: Social science and transplantation Other education considered an asset for this position: Looking for a post-doctoral researcher, however a student enrolled or planning to enroll in a PhD program
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. Prasher, Bioresource Engineering Position Summary: To work on a project dealing with field evaluation of use of nano fertilizers in crop growth Other Qualifying Skills and/or Abilities: Degree and
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requires Work Study eligibility* Please include your confirmation letter or application to the Work Study Program in the attachments. Only students with Work Study status will be considered for an interview
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: Mechanical Engineering Department Position Summary: We are looking for a candidate to work for 3 months, full time, on Investigation of Neural-Network-based Architectures on the Prediction of Unsteady Flow