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supportive environment for Māori and Pacific early career academics to teach, research and engage in academic citizenship. We want AUT to be a place where Māori and Pacific are involved in all
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the workplace. • Excellent computer skills. • Technical skills in terms of monitoring equipment or an ability to learn this. • Logical thinking and problem-solving skills. • An interest in health
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supportive environment for Māori and Pacific early career academics to teach, research and engage in academic citizenship. We want AUT to be a place where Māori and Pacific are involved in all
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journals (including as the main author), such as ICSE, FSE, ASE, ISSTA, SANER, ICPC, ICSME, MSR, TOSEM, JSS, I&ST, TSE, and EMSE • Experience publishing in related fields, such as data mining and machine
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lending and information services at our information desk and via online media, assisting users with equipment, maintaining our collections and physical environment, and helping make our learning spaces
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of Science. Our ideal candidate will teach and research into the area broadly known as Technology and Humanity, which includes the Philosophy of AI. They will contribute to, and develop new, courses in Digital
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constructive interactions. A strong commitment to continuous improvement and a willingness to learn and develop. A practical and innovative mindset, with the ability to quickly identify issues and implement
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research background who have moved into digital and data-intensive work. You will bring at least three years' experience in scientific programming, data analysis, data management, and machine learning
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You will be able to work well with different computer programs. Have proficiency in using MS Office applications (e.g. Word, Excel, PowerPoint and Outlook) and can demonstrate excellent accuracy
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, whanaungatanga and tiakitanga, supporting equity and inclusion across science learning in Aotearoa. You will build strong relationships with schools, UC staff, and students to deliver inspiring and culturally