110 computer-programmer-"https:"-"INSA-toulouse" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Canterbury
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in multiple subjects across SEE, including Geology, Environmental Science, Antarctic Studies, and Disaster Risk and Resilience. You will also develop a strong, externally funded research programme
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positive and inclusive work environment. Mahi Ngātahi | Who You Will Work With You will be part of the project team for the Digital Information Programme in supporting UC to migrate files, from current on
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access to UC facilities such as UC RecCentre and Staff Club at discounted rates plus onsite cafés and eateries, and more. For more information, please visit us: https://www.canterbury.ac.nz/about-uc/work
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that support academic programmes, student experience, and commercial activities, including Kōawa Studios. In this role, you will: Lead and elevate a team: build capability, create role clarity, and foster a high
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and efficient delivery of Faculty operations. You’ll provide high-quality administrative support across postgraduate programmes, research activities, and work-integrated learning initiatives. Acting as
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Exceptional communication, documentation, and organisational skills Hold a Bachelor’s degree in an IT-related discipline such as Computer Science or Software Engineering An alignment with our organisation's
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access to UC facilities such as UC RecCentre and Staff Club at discounted rates plus onsite cafés and eateries, and more. For more information, please visit us: https://www.canterbury.ac.nz/about-uc/work
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Do The UC Centre for Entrepreneurship (UCE) is seeking an experienced and passionate Innovation Lead to support the delivery of impactful entrepreneurship programmes while the current incumbent is on
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learning or a closely related field. Knowledge of CDL and employability research and its practical application. Experience collaborating with colleagues outside career development on programme or resource
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across undergraduate and postgraduate programmes, particularly within the applied data science programme. Apply innovative, research-informed teaching methodologies, including supporting learners across