68 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at Hong Kong Polytechnic University
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School of Fashion and Textiles Research Assistant (Ref. 260303001) [Appointment period: five months] Duties The appointee will assist the project leader in the research project - "Development
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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- “Developing a flipped learning signature showcase”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Tina Jia at telephone number 3400
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: ten months] Duties The appointees will assist the project leader in the research project - “Development of hydrogel nanocomposite wound dressing for multidrug-resistant bacterial infection via
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to twelve months initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Development of glassy-carbon pyrolysis and shaping
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collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis as well as paper and report writing; and (c) perform any other duties as assigned by
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The appointees will assist the project leader in the research project – “Enhancing digital asset security based on the blockchain technology”. They will be required to: (a) develop blockchain-based secure
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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) construct high-quality data pipelines covering code, mathematics and general-domain data, as well as ensure data clarity, diversity and scalability; (b) develop efficient training frameworks to support pre
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development platforms capable of ingesting, curating, and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems based on the hepatocellular