279 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
are invited to contact Prof. Yi Zhang at telephone number 2766 6162 or via email at yi-ee.zhang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
-
Mathematics. Applicants are invited to contact Dr Zhiyuan Wen at telephone number 2766 7315 or via email at zyuanwen@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$100
-
number 2766 6574 or via email at lai.ting.ho@polyu.edu.hk for further information. Conditions of Service The remuneration rate is HK$394 per hour. Consideration of applications will commence on 27
-
information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 2 March 2026 until the position is filled. Apply Now Posting date: 24
-
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
-
information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 25 February 2026. Apply Now Posting date: 16 February 2026
-
or an equivalent qualification. Applicants are invited to contact Ms Maggie Guo via email at maggie.guo@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
-
have: (a) experience in working with children and youth with special educational needs; (b) a good command of both written and spoken English and Chinese; (c) good computer literacy and
-
information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 28 February 2026. Apply Now Posting date: 9 February 2026
-
training task orchestration and automated pipelines, unified base image system (CUDA + PyTorch), data loading and data distribution components, and training artifact management and model version management