85 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:" positions in Hong Kong
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Computational Social Science Social and Public Policy Mental Health and Wellbeing Data Science and Artificial Intelligence (AI) Industrial Data Science Sustainable Energy and Materials (clean energy, energy
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Department of Computing Part-time Research Assistant (Ref. 251112006) [Appointment period: six months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Microbiology, Bioinformatics/Computational Biology, or a related
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majors (Global and Area Studies, Japanese Studies, and Korean Studies) and 13 language programmes (Arabic, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Thai
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liver cancer and liver transplantation. He/She will plan and execute research; prepare scientific publications, grant proposals and reports; liaise and coordinate with internal and external stakeholders
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international part of the university. The School offers 3 undergraduate majors (Global and Area Studies, Japanese Studies, and Korean Studies) and 13 language programmes (Arabic, French, German, Indonesian
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Department of Logistics and Maritime Studies Research Assistant (Ref. 251027001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “A machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime...
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Department of Computing Research Assistant / Part-time Research Assistant (Ref. 251024004) (1) Research Assistant [Appointment period: three to six months] (2) Part-time Research Assistant
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning