49 web-programmer-developer-"https:"-"https:"-"https:"-"Simons-Foundation" research jobs in Hong Kong
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installations”. They will be required to: (a) assist in literature review; (b) develop the system platform; (c) assist in user studies (e.g. experiment design, data collection and analysis) to evaluate
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) design and develop software components for enabling LLM-driven CBT journaling supporter; (b) engineer and optimise the LLM prompt and knowledge augmentation; (c) assist in the preparation of reports
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Research Assistant. The appointee will work closely with the Principal Investigator and the project team, to support the strategic development of a new large-scale research program on AI in education
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Department of Computing Research Assistant (Ref. 251218004) [Appointment period: around three months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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will assist the project leader in the research project - “Development of Fe-based high-entropy alloys with superior mechanical properties”. Qualifications For the post of Postdoctoral Fellow, applicants
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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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School of Hotel and Tourism Management Postdoctoral Fellow (Ref. 251224001) [Appointment period: twelve months] Duties The appointee will assist the project leader in the project - “Developing an AI
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the research project - “Social robots with embedded Large Language Models releasing stress among the Hong Kong population”. He/She will be required to: (a) develop personalised emotional support conversation
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for hepatocellular carcinoma; (b) establish secure, regulatory-compliant development platforms capable of ingesting, curating, and continuously learning from multi-center hepatocellular carcinoma datasets; (c
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”. They will be required to: (a) construct high-quality data pipelines covering code, mathematics and general-domain data, as well as ensure data clarity, diversity and scalability; (b) develop efficient