69 parallel-computing-numerical-methods-"Prof" positions at THE UNIVERSITY OF HONG KONG
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positions are possible if suitable candidates can be identified. The candidate is expected to have a PhD degree in astrophysics or related principles and will work with Prof. Bing Zhang to conduct research in
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. Two positions are possible if suitable candidates can be identified. Applicants should possess a Ph.D. degree in Physics. The appointee will work with Prof. Chenjie Wang to pursue research in condensed
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the Department of Physics (Ref.: 532217) We now invite applications for the captioned posts available in Prof. Zhong Wan’s group. Those with experience in quantum materials, low-temperature transport, and related
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involved. For inquiries, please contact Prof. Tsoi at jkhtsoi@hku.hk . Further information about the Faculty can be found at https://facdent.hku.hk/. The University only accepts online application
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basis. The appointee will join the Asian Religious Connections Research Cluster (ASIAR) led by Prof. David A. Palmer at the Institute. The Cluster responds to a growing scholarly consensus that
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. Enquiries about the duties of the posts and/or the project should be sent to Prof. Amy Chow (e-mail: chowamy@hku.hk ). Review of applications will start as soon as possible and continue until August 31, 2025
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the Department of Physics (Ref.: 532126) We now invite applications for the captioned two postdoctoral fellow posts available in Prof. Yuxin Zhao’s group. Duties and Responsibilities work on a project related to
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for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and