47 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" research jobs at Hong Kong Polytechnic University
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professional training to align with the emerging needs of our society and students’ diverse learning interests. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the
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the website at https://www.sd.polyu.edu.hk/en/ for more information about the School. The Design discipline at the School takes a sustainable and humanistic approach which also aims to expand the scope
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knowledge of using MATLAB and COMSOL to solve research problems; and (e) be familiar with coding. Applicants are invited to contact Dr Menglin Chen at telephone number 2766 6148 or via email at
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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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. 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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- “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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qualification in Environmental Science / Engineering / Biology. Applicants are invited to contact Dr Xie Jiawen at telephone number 2766 4450 or via email at carmen-jw.xie@polyu.edu.hk for further information
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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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) 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