30 parallel-computing-numerical-methods-"Prof" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas
-
technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
-
the Department of Physics (Ref.:532423) We now invite applications for the captioned post in Prof. Wang YAO’s group. Duties and Responsibilities Work on projects on novel quantum matters Requirements a Ph.D
-
will work on projects related to oral microbiology and organoid development, under the supervision of Prof. Jade L. L. Teng. For inquiries, please contact Prof. Teng at llteng@hku.hk . Further
-
. 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
-
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
-
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
-
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
-
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
-
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