204 formal-verification-computer-science uni jobs at Northern Alberta Institute of Technology
Sort by
Refine Your Search
-
Listed
-
Field
-
and tutoring for students to maximize student success and retention Respond to student issues Utilize appropriate educational technology for presentations, communications and program promotions
-
Mechanical Tech Centre School School of Construction and Building Sciences Campus Patricia Campus Detailed Job Description In order to ensure your application is received by NAIT for thorough review and
-
#2727 Apply Now Share this job on: Job Information Positions Available 1 Closing Date 24 Jun 2025 Type Permanent Full-Time Location Edmonton AB Remote Option None Department Learning Technology and
-
adapting to a constantly evolving technology landscape in higher education. Key Responsibilities: Maintain student records accuracy on the Student Information System Prepare and distribute student records
-
work experience, preferably with payroll, benefits and pension experience Completed PCP courses from the Canadian Payroll Association certification program preferred A good understanding of full cycle
-
and computer science, who is excited to work at the intersection of geospatial data management, application development, and community-focused collaboration. The role is integral to the development and
-
, analyze, and interpret data and statistics using quantitative and qualitative methods. Strong oral and written communication skills. Qualifications: Degree or Diploma in Computer Science, Data Analytics
-
the institution. Risk Management and Compliance: Identify, assess, and mitigate operational risks, and lead business continuity planning. Ensure compliance with regulatory requirements, program accreditation
-
Volunteer Venture Program, provides one-on-one mentorship, assists with operational support, and fosters meaningful connections between students, mentors, and the innovation community. The Advisor also
-
geographic information systems, life-cycle assessments, carbon accounting, data science, applied statistics and simulation. The research program will be aided by generous support from the Shaw Family