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, requiring large computational effort to assess and study system stability. This is becoming even more challenging under increasing complexity requiring detailed dynamical models and with new dynamic phenomena
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to conduct impactful research and pursue excellence High levels of enthusiasm, passion, and self-motivation for sustainable aviation Intellectual curiosity and a willingness to learn through literature review
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun
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