61 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" research jobs at Hong Kong Polytechnic University in Hong Kong
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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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. Applicants are invited to contact Dr David D. W. Lui via email at david.lyu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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must have no more than five years of post-qualification experience at the time of application. Applicants are invited to contact Dr Cheung Chung Wai James at telephone number 2766 7673 or via email at
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) be able to work independently. Applicants are invited to contact Dr Angie Baecker at telephone number 3400 3164 or via email at angie.baecker@polyu.edu.hk for further information. Conditions of
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/relevant work experience. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Lv Jiaxin at telephone number 3400
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should have an honours degree or an equivalent qualification. Applicants are invited to contact Ir Prof. Pai Zheng or Dr Xia Liqiao at telephone number 2766 5633 or 3400 3186 or via email at pai.zheng
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to contact Dr Lv Jiaxin at telephone number 3400 2483 or via email at jiaxin.lv@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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qualification and must have no more than five years of post-qualification experience at the time of application. Applicants are invited to contact Dr Zhao Xiangen at telephone number 2766 5989 or via email at
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to contact Dr Zhiyuan Wen at telephone number 2766 7315 or via email at zyuanwen@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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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