134 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Hong Kong Polytechnic University
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degree in Engineering or an equivalent qualification. Applicants are invited to contact Dr Oscar K. C. Chan via email at oscar-kc.chan@polyu.edu.hk for further information. Conditions of Service A highly
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experience normally of at least eight years’ duration, high level of academic achievement and good record and reputation as a competent researcher. Applicants are invited to contact Dr Lv Jiaxin at telephone
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. Applicants are invited to contact Dr Wen Yi at telephone number 2766 4261 or via email at wen.yi@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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or more years of research / relevant work experience. Applicants for the Research Assistant post should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Wen Yi
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technologies to promote student well-being. Preference will be given to those with research related experiences as well as a master’s degree. Applicants are invited to contact Dr Jet Uy Buenconsejo via email at
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English and Chinese. Applicants are invited to contact Dr Lo Kai Chung via email at kai-chung.lo@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$125 per hour
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) excellent English communication skills in both writing and speaking. Applicants are invited to contact Dr Zheng Yijie at telephone number 3400 3550 or via email at yijie.zheng@polyu.edu.hk for further
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should have an honours degree or an equivalent qualification in Engineering, Biology or Chemistry. Applicants are invited to contact Dr Xie Jiawen at telephone number 2766 4450 or via email at carmen
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) be able to work independently. Applicants are invited to contact Dr Mengqi Li at telephone number 3400 3214 or via email at mengqi28.li@polyu.edu.hk for further information. Conditions of Service A
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) write code and conduct research on causal reasoning, bias mitigation and interpretability in Large Language Models (LLM); (b) design and implement algorithms or frameworks for enhancing