547 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at University of Toronto

  • University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago

    relation tothe Code of Behaviour on Academic Matters. As the Academic Integrity Specialist, you will provide a range of confidential administrative support to theacademic integrity and discipline portfolio

  • University of Toronto | Regina East, Saskatchewan | Canada | 3 months ago

    confidentiality. Legal Authority As Peace Officers, Deputy Sheriffs operate under the Criminal Code of Canada , Court Officials Act, 2012 , Court Security Act, 2007 , and The Police Act, 1990 . They are authorized

  • University of Toronto | Regina East, Saskatchewan | Canada | 3 months ago

    for meetings, training sessions and other events; Verifying, coding, processing, and tracking invoices for approval and payment ensuring policy compliance; Administration of branch budget including compiling

  • University of Toronto | Estevan, Saskatchewan | Canada | 3 months ago

    infrastructure and ensure the safety of all highway users by monitoring commercial vehicle compliance with National Safety Code requirements and Commercial Vehicle Safety Alliance standards. This goal will be

  • University of Toronto | Regina East, Saskatchewan | Canada | 3 months ago

    ; Maintaining manual and electronic filing, bring forward and records management systems; Verifying, coding, processing and tracking invoices for approval and payment ensuring policy compliance; compiling expense

  • University of Toronto | Downtown Toronto St James Park, Ontario | Canada | 2 days ago

    Date Posted: 03/31/2025 Req ID: 46987 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Description: The Acceleration Consortium

  • University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago

    to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming

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