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working relationships in a variety of situations with a variety of individuals. Successful candidates will also have: • Experience in an administrative environment. • Computer literacy and technical
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systems, data science, human-computer interaction, graphics and computer vision, information retrieval, and software engineering. The School of Computing is known for its inter-disciplinary work and fosters
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: • A completed or in‑progress Master’s qualification in a relevant area. • Experience in machine learning, artificial intelligence, or statistical modelling, with knowledge of tree‑based ensemble
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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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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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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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and/or Kaupapa Māori research methods, or a willingness to learn. • Accuracy in data handling and electronic data entry. • Excellent computer skills including knowledge of MS Office About our Team
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situations with a variety of individuals. Successful candidates will also have: • Experience in an administrative environment. • Computer literacy and technical proficiency in Microsoft Office programs