90 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" positions in New Zealand
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Te Tari Pūhanga Pūmanawa Rorohiko | Computer Science and Software Engineering Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed term (1 years
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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
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designed to help our kaimahi grow and feel connected, supported and valued. We offer a range of benefits, for more information, please visit us: https://www.canterbury.ac.nz/about-uc/work-at-uc/benefits
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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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AACSB, EQUIS and AMBA. We provide a collegial environment, and academic staff have access to generous internal research funding, sabbatical leave, and the world-renowned Erskine fellowship programme. For
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strategic development of the Law programme, contributing to its future growth and innovation. This includes extending the programme’s reach through online delivery and enhancing its relevance and reputation
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) to support the Data Science programme in the School of Mathematics and Statistics. The team has a wide range of responsibilities including supporting students, teaching, tutoring, and developing
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excellent research and mentoring skills, and experience teaching Synthetic Biology in inclusive learning environments. You will be expected to establish an externally funded research programme, for which
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. Experience developing, maintaining, and improving reporting and review systems to track programme activity, engagement, and outcomes. Strong communication skills, including experience engaging and presenting
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) in IT, computer science, software engineering, or a related field Strong experience in requirement gathering, gap analysis, data modelling and analysis, system/process analysis and user journey mapping