Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
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
-
and classical computer vision; Develop quantitative features, including color metrics (RGB/HSV/Lab), texture (GLCM, LBP), geometry, and other visual proxies for clinical assessment; and Build image
-
engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
-
Science, Electrical/Computer Engineering, Biomedical Engineering, or related field with at least 4 years of relevant experience. Candidates with less experience will also be considered; Computer Vision & Image
-
(ii) biomedical imaging and informatics. Applicants should have a relevant PhD degree and a good scholarly record demonstrating potential for teaching and research excellence. The successful candidate
-
. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
-
structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open-source medical imaging computing platform like
-
, and sensor data processing algorithms; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering
-
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
-
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