67 postdoc-parallel-computing positions at Hong Kong Polytechnic University in Hong Kong
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess and
-
Department of Industrial and Systems Engineering Project Associate / Project Assistant (Full-time/Part-time) (Ref. 251022004) [Appointment period: three months] Duties The appointee will assist the project leader in the research project - “Text-guided generative AI for eco-innovative...
-
doctoral degree in Electronic Engineering, Computer Science, Artificial Intelligence or a related discipline plus at least three years of postdoctoral research experience or an equivalent qualification and
-
Department of Industrial and Systems Engineering Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 251020004) (1) Postdoctoral Fellow (2) Research Associate (3) Research Assistant [Appointment period: each for twelve months] Duties The appointees will assist the...
-
primary computational lead of the project, focusing on Density Functional Theory (DFT) simulations to investigate the interactions between carbon quantum dots and polysulfides; (b) apply and develop
-
, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at
-
Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
-
Department of Computing Research Assistant (Full-time/Part-time) (Ref. 250827001) [Appointment period: four months initially, with possibility of further appointment] Duties The appointee will
-
, preferably in a higher education setting; (c) have good knowledge and skills in quantitative and qualitative data analysis using relevant computer software and applications such as SPSS, MaxQDA and NVivo
-
computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent