22 phd-in-image-processing Fellowship research jobs at Hong Kong Polytechnic University
Sort by
Refine Your Search
-
preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
-
: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
-
for the Postdoctoral Fellow post should have (i) a PhD degree in Physics, Materials or Engineering and must have no more than five years of post-qualification experience at the time of application; and (ii) at least
-
”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
-
research and evaluation studies; (b) assist in designing research tools such as questionnaires; (c) conduct data collection, processing and analysis; (d) prepare research reports and academic papers
-
neuromyelitis optica spectrum disorder-related optic neuritis: from model construction to experimental investigation”. They will be required to: (a) perform administrative work and project operation; (b) conduct
-
) 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
-
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
-
Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys
-
) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business