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Fixed term two-year contract Full-time 1.0 FTE Based at AUT's City Campus, Auckland CBD The Future Fibres Laboratory at the School of Engineering, Computer and Mathematical Sciences at Auckland
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relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Possess a PhD degree in Computer Science, Mathematics, or a closely related area Knowledge
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through a PhD education leading to a doctoral degree. Starting date for the positions is no later than 01 Januray 2026. The hired candidates will be admitted to the PhD program in Science and Technology
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learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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teaching Experience with water infrastructure modelling with a focus on computational methods A strong link to the topic interdependence and cascading effects in Urban infrastructure Systems. A strong
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational