114 postdoctoral-image-processing-in-computer-science-"EPIC" positions at University of Canterbury
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services to assess and improve the effectiveness of the University's governance, risk management, and control processes. Key responsibilities will include: Developing and managing the annual Internal Audit
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efficient Architecture services. Your clear guidance and strategic insight will shape technology decisions and drive value across the University. Mōu | Who You Are You are a seasoned digital leader with: A
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, assessing, and mitigating digital and technology risk. You will guide our teams to make informed, risk-aware decisions that support UC's mission to empower learners and researchers. This is a high-impact role
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staff, you'll create high-quality online modules, media content, and authentic assessments grounded in evidence-based practice. You'll contribute your expertise to every stage of the design process—from
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academic goals. You will work collaboratively with relevant Faculty staff and provide advice in support of programme quality, process improvements, and an optimal student experience. Mōu | Who You Are You
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will have: Bachelor's degree in a relevant data science discipline (NZQA Level 7). At least 10 years of data engineering experience and 3+ years in data science/machine learning. Proficiency in Python
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-solving, and innovation. Bachelor's Degree (NZQA Level 7) in Computer Science or equivalent An alignment with our organisation's values and culture, promoting a positive and inclusive work environment. Mahi
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careers website and should include a cover letter and resume. Please note, we do not accept applications by email, however we are happy to answer your queries in relation to the application process, please
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advising units. The role will provide guidance on systems and processes that contribute to improving retention, achievement, and completion rates especially for priority learners (including ākonga Māori and
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within a diverse portfolio for our key stakeholders. No day will be the same and you will bring your previous recruitment experience to: Ensuring documentation and approval processes are followed