41 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" positions at University of Canterbury
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ordinary, offering a vast array of teaching, learning, and research programs across Sciences, Arts, Law, Business, Engineering, Education, and Health. UC diverse range of interests provides a unique
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an experienced Software Developer with at least At least 7 years commercial software development experience, using more than one programming language, including both python and C#, as well as have: Experience
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to enhance the profile of the programme. Mōu | Who You Are To be successful in this role you will have: A PhD (or equivalent) in Chinese Studies, Applied Linguistics, Translation & Interpreting Studies, or a
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organisational skills, including ability to set priorities, manage time and plan, work to meet deadlines, and escalate when appropriate. Proficiency in Microsoft Office including Teams. Deliver outstanding
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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| Computer Science and Software Engineering is about designing intelligent computer systems that empower people to work more efficiently and solve real-world problems. While programming is a key component, the field
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of innovative curricula. Establish and sustain an externally funded research programme. Supervise postgraduate research students. Engage collaboratively across disciplines within the University and with external
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Ngātahi | Who You Will Work With You will work with stakeholders across UC as part of a project team who's mahi aligns closely with UC's Student Success Programme - Kia Angitu. The project team aims
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-based experiments using tools such as PsychoPy and E-Prime, provide programming support for Qualtrics surveys, and streamline administrative processes. You'll also assist with IT systems maintenance, AV
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deliver innovative courses that connect theory with real-world application. Expertise in data science tools and programming languages (e.g., Python, R, SQL, or equivalent). Strong quantitative and