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- “Development of the adaptive landing and aerial manipulation technology based on the generalized parallel mechanism and artificial intelligence technology”. Qualifications Applicants should have a doctoral
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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- “Distribution mechanisms and risk prediction of fungal pathogens and antifungal resistance in urban waters”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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Department of Computing Research Assistant (two posts) (Ref. 261012015) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “A
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Chinese, with fluency in Putonghua being an advantage; (c) have good teamwork and interpersonal skills; and (d) be proficient in computer skills including Microsoft Office and Chinese word processing
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- “Federated graph learning for large-scale infrastructure health monitoring with edge computing”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification in Civil
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The appointee will assist the project leader in the research project - “Enabling secure and resilient distribution grid operations through physics-informed topology learning and coordinated network-load
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spoken English and Chinese; (c) have good computer literacy including MS Word, Excel and PowerPoint; (d) have good interpersonal and organisational skills; and (e) be a good team player and able
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Applicants should: (a) have an honours degree in Marketing, Accounting, Computer Science or an equivalent qualification; (b) have a good command of both written and spoken English and Chinese; (c) be
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of digital finance with artificial intelligence (DDFAI) program”. He/she is also required to organise the extracurricular activities of DDFAI program. Qualifications Applicants should have a master’s degree