144 computer-science-image-processing research jobs at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
-
Department of Industrial and Systems Engineering Research Assistant (Ref. 250714015) [Appointment period: five months] Duties The appointee will assist the project leader in the research project
-
) 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
-
) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
-
computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
-
Department of Food Science and Nutrition Research Assistant (Ref. 250711010) [Appointment period: eleven months] Duties The appointee will assist the project leader in the research project
-
Department of Electrical and Electronic Engineering Part-time Research Assistant (two posts) (Ref. 250624008) [Appointment period: each for thirty months] Duties The appointees will assist
-
) 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 assure
-
Department of Industrial and Systems Engineering Postdoctoral Fellow (several posts) (Ref. 250415006) [Appointment period: each for twelve to twenty-four months] Duties The appointees will assist
-
Computer Science or a related discipline or an equivalent qualification; (b) considerable experience and excellent academic record in automated software engineering and/or machine learning; (c) strong