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- “Experimental investigation into the mechanisms of plasma-assisted combustion for green liquid propellants”. Qualifications Applicants should have: (a) a doctoral degree, preferably in machine learning‑driven
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the project - “Engaging with diversity”. They will be required to: (a) coordinate service learning activities with students and collaborating agencies; (b) provide administrative support; (c) assist
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have: (a) an honours degree in Biomechanical Engineering, Apparel and Textile Design Technology, Machine Learning, Data Science or related disciplines or an equivalent qualification; and (b) good
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should: (a) have a good honours degree or an equivalent qualification; (b) have a good command of both written and spoken English and Chinese; (c) be proficient in Python and with the main machine
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for autonomous commerce systems; (b) design and develop the execution assurance agent layer, including execution validation, declarative policy engines, state-machine-based execution control and safety-aware
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Computer Science, Artificial Intelligence, Data Science Engineering or a related discipline; (b) demonstrated expertise in foundation models, generative AI, multimodal learning, machine learning systems, model
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knowledge of machine learning and computer vision; and (d) technical skills in programming and Generative AI development. Preference will be given to those with good publication records and experience in
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- “Digitalization and marketing innovation in the Chinese automobile industry”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b) advanced data scraping and
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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State Key Laboratory of Ultra-Precision Machining Technology Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 260914003) (1) Postdoctoral Fellow