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system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI; (d) assist in the design, optimisation, and maintenance of PostgreSQL
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) experience in large-scale/high-concurrency front-end projects with deep expertise in performance optimisation and architecture design. Applicants are invited to contact Dr Xiaolin Zhu at telephone number 3400
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models; (b) conduct extensive experiments and evaluations; (c) publish high-quality research papers in top conferences or journals; and (d) perform any other duties as assigned by the project
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assistants to deliver high-quality tours and support activities; (k) collaborate with internal and external stakeholders, including colleagues, students, officials and VIPs; and (l) perform any other
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for photorefraction; and (d) perform any other duties as assigned by the project leader or his/her delegates. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent
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the research project - “Research and development of robust refractive error detection utilising machine learning models and smartphone videos”. He/She will be required to: (a) perform comprehensive eye
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required to: (a) select high-quality seed images from standardised image libraries (e.g., NAPS) based on the dimensions of "high/low valence & high arousal" to identify positive and negative emotional
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- “High-fidelity monitoring and prediction of extreme climate events in Hong Kong and surrounding regions”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral
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Department of Land Surveying and Geo-Informatics Research Assistant (Ref. 251212006) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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the research project - “AI-driven academic and emotional support for capstone success”. He/She will be required to: (a) prepare research reports to be published in high-quality papers in top-pier education