15 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" research jobs in New Zealand
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning
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. Teach courses at undergraduate levels in the School of Mathematics and Statistics, up to 50 lecture hours per year. Build and maintain collaborative research relationships within the School and beyond
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Tylianakis, within the School of Biological Sciences For more information about our School and team, please visit us here – www.tylianakislab.org ; https://www.canterbury.ac.nz/study/academic-study/science
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, please visit us: https://www.canterbury.ac.nz/joinus/benefits/ . For more information about Te Whare Wānanga o Waitaha | University of Canterbury, please visit https://www.canterbury.ac.nz/ The closing
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(CAVs) Traffic control and signal optimisation Navigation and routing strategies Operations research and network optimisation Big data analytics and machine learning Mōu | Who You Are To be successful in
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with machine-learning–enhanced statistical inference. This position is based at the University of Otago in Dunedin and will be managed/supervised by Dr Fabien Montiel. The postdoctoral fellow will lead
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and cultural backgrounds. During their stay, Senior Fellows are free to pursue their research project at the Zukunftskolleg without any obligation to teach or to participate in the boards or committees
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Interaction Centre and the Department of Electrical & Computer Engineering. The position will also involve extensive collaboration with industry partners. Mōu | Who You Are To be successful in this position you
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PhD programmes. Like the wider University, the Department is research-intensive while remaining strongly student-focused, delivering a holistic learning experience that develops critical thinking and
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your practice, you’ll be supported to make a practical, impactful contribution to both learning and discovery. You will bring an open, engaging, and collaborative approach, with the flexibility