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positive attitude for developing effective teaching methods, a commitment to diversity and inclusion and an open-minded viewpoint, and embrace the University's commitment to Aotearoa, New Zealand's
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formal project methodology. · Deployment of HOP/Learning Team/Safety II principles · Developing health, safety and risk frameworks and integrating sustainable practices with business strategy
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the following: A PhD in Computer Science, Software Engineering, or a closely related field (applicants who have submitted their PhD for examination or are near completion may be considered). A strong record of
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an enthusiastic and committed academic who brings strong disciplinary expertise, a collegial mindset, and a passion for learning and discovery. You will have: A completed PhD in Economics (or close to completion
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algorithms, and hold a PhD in Electrical Engineering, Computational Engineering, Applied Mathematics, or a related field. You will also have: Strong understanding of power system transient simulation concepts
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You are an enthusiastic and collaborative academic who values inclusive teaching and research. You will bring: A PhD (or equivalent) in the Scholarship of Teaching and Learning with an emphasis
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: 3rd year of undergraduate studies); or postgraduate study, Masters’ or PhD, is desired. An understanding of experiential learning such as Work-Integrated Learning (WIL), Career Development Learning (CDL
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of Chinese language, applied linguistics, translation & interpreting studies, or related areas. Supervising honours and postgraduate research students, including at the PhD level, fostering academic excellence
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formal and informal learning, supported by a team culture that values collaboration and knowledge sharing. Mōu | Who You Are You have commercial software development experience and are ready to take the
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the School. Mōu | Who You Are You combine your expertise in Data Science with a commitment to teaching, industry engagement, and collegial leadership. You will have: A PhD in Data Science, Computer