Sort by
Refine Your Search
-
for visual stimulation and data acquisition, including the use of specialised software and hardware for retinal imaging and functional assessment; (b) analyse and interpret experimental data using advanced
-
and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
-
, Computer Science, or other related disciplines, with experience or keen interest in processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts
-
”. Qualifications Applicants should: (a) have a master’s degree in GIS, Urban Planning, Data Science or relevant disciplines, or an equivalent qualification; (b) have experience in processing multi-sourced
-
The appointee will assist the project leader in the research project - “Interactive virtual environments for transcanal endoscopic ear surgery training, planning, and rehearsal via advanced vision-language models
-
contribute to applied research and prototype evaluation; (d) proven ability to conduct empirical studies on organisational strategies, digital behaviour, intelligent service processes or AI-assisted
-
slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
-
of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and
-
to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
-
demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model