425 data-"https:"-"https:"-"https:"-"https:"-"University-of-Minho" positions at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
student surveys and evaluating programmes / services, including data collection, statistical reporting and report writing; (f) provide administrative support, supervision and coaching to supporting
-
Information Day, roadshows, consultation events, and other promotional and publicity initiatives; and (f) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications
-
experiment design, data processing and result analysis; (g) assist in the preparation of research papers, technical reports and open-source artifacts; and (h) perform any other duties as assigned by
-
, spectrum meter, etc. to measure the parameters of processed materials and test the performance of the fabricated devices; (d) collect data, analyse and interpret test results; and (e) perform any other
-
) possess expertise in Join-on-a-Chip (JOC). Applicants are invited to contact Prof. Chunyi Wen at telephone number 3400 8898 or via email at chunyi.wen@polyu.edu.hk for further information. Conditions of
-
student surveys and evaluating programmes / services, including data collection, statistical reporting and report writing; (f) provide administrative support, supervision and coaching to supporting
-
on finding, using and managing information effectively, including using AI tools for learning and research; (b) develop the Library’s information literacy programmes, actively collaborating with Faculty
-
to contact Prof. Yusheng Zhou at telephone number 3400 3627 or via email at yusheng1.zhou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
-
qualification. Applicants are invited to contact Prof. Melody Jun Zhang at telephone number 3400 3921 or via email at melody-jun.zhang@polyu.edu.hk for further information. Conditions of Service A highly
-
communication skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data