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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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project - “Advanced integrated co-packaged optics transceiver module for high-speed network applications”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must
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- “Monitoring, diagnosis, and prognosis for renewable energy system under complex operation conditions”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b
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the research project - “Uncovering the dynamical landscape of shipping networks through big data analytics”. Qualifications Applicants should have: (a) a good honours degree or an equivalent qualification in
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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/she will be required to: (a) conduct high-quality research in the field
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the research project - “Safety-certified multi-source fusion positioning for autonomous vehicles in complex scenarios”. Qualifications Applicants should have an honours degree in Engineering with a strong
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the research project - “Safety-certified multi-source fusion positioning for autonomous vehicles in complex scenarios”. Qualifications Applicants should have an honours degree in Engineering with a strong
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networks”. Qualifications Applicants should have a master’s degree or a good honours degree with three or more years of research/relevant work experience. Applicants are invited to contact Prof. Lei Yang
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the research project - “Vehicle-infrastructure collaboration for connected unmanned ground and aerial vehicles in complex urban canyons”. Qualifications Applicants should have an honours degree in Engineering