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simulation and optimization system”. He/She will be required to: (a) conduct laboratory experiments and source materials; (b) develop 3D models; (c) build optimisation system; and (d) perform any
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intelligence (AI) models using both online and offline large language models (LLMs) such as GPT, Qwen, DeepSeek, Mistral, Llama, and Gemma. Familiarity with Linux environments is essential, along with advanced
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work experience or a master’s degree in the afore-mentioned disciplines. Preference will be given to those with experience in working with rodent models. Applicants are invited to contact Prof. Kevin
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model development to analyse the cost-effectiveness, cost-benefit and/or budget impacts of treatment strategies, and conduct sensitivity analyses and scenario planning Source appropriate epidemiological
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- “Unlocking the value of shared question-and-answer (Q&A): A new business model on paid Q&A platforms”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no
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Biology, Immunology, or a related discipline. Experience in cancer research using various animal tumor models would be an advantage. The appointee will work together with a research and development team
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on protein modeling and de-novo protein design. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University
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to those with knowledge and experience in analytical/numerical source modeling. Applicants are invited to contact Prof. Randolph C. K. Leung at telephone number 2766 6645 or via email at mmrleung
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; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c) prepare manuscripts; and (d) perform any other duties as
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systems, including circuit design, evaluations of sensors for realising interactive functions of the above-mentioned system, circuit prototyping, PCB design and fabrications; (c) assist in 3D modelling