202 parallel-computing-numerical-methods-"Prof" positions at Hong Kong Polytechnic University in Hong Kong
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Department of Computing Senior Research Fellow / Senior Project Fellow (Full-time/Part-time) (several posts) (Ref. 250709006) [Appointment period: each for one to twelve month(s)] Duties
-
) knowledge of machine learning, deep learning, econometrics and social network. Applicants are invited to contact Prof. Y. Katherine Feng at telephone number 2766 7127 or via email at katherine.feng
-
machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
-
Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
-
to contact Prof. Liu Wei at telephone number 2766 5534 or via email at wei2.liu@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$125 per hour. The closing date
-
to work on irregular hours including evenings and Saturdays. Qualifications Applicants should have: (a) an honours degree in Nursing, Computer Science, Statistics, Social Sciences or other health-related
-
journals. Applicants are invited to contact Prof. Liu Yang Veronica at telephone number 2766 7323 or via email at yang-veronica.liu@polyu.edu.hk for further information. Conditions of Service A highly
-
top AI conference and journals; (e) have good communication skills in both English and Chinese; and (f) be self-motivated. Applicants are invited to contact Prof. Liu Yang Veronica at telephone
-
or a related field; (b) strong analytical and problem-solving skills; and (c) excellent communication and interpersonal skills. Applicants are invited to contact Prof. Anyu Liu at telephone number
-
) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific