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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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(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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Department of Electrical and Computer Engineering | Te Tari Pūhanga Hangarau Located in Christchurch | Ōtautahi New Zealand | Aotearoa Full-time 37.5 hours per week (1.0 FTE) Continuing (permanent
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machine learning techniques to enhance source detection sensitivity. Multimessenger modelling and interpretation of Galactic sources. This position offers the opportunity to work at the forefront