16 processor-"https:"-"https:"-"https:"-"Brunel-University-London" research jobs in Hong Kong
Sort by
Refine Your Search
-
representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
-
project - “Financial support for book writing”. Qualifications Applicants should have: (a) a doctoral degree in Computer Engineering or a related discipline plus at least six years of postdoctoral
-
integration; (b) conduct algorithm research and development in areas such as computer vision, multimodal learning and embodied AI; (c) conduct experiments, data collection and performance evaluation; (d
-
Cantonese; (c) have good teamwork and interpersonal skills; and (d) be proficient in computer skills, including SPSS, Microsoft Office and Chinese word processing. Applicants are invited to contact Dr
-
, Computer Engineering, Electronic Engineering, Automotive Engineering, Aerospace Engineering or a related discipline plus at least six years of postdoctoral research experience or equivalent qualifications
-
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
-
computer skills, including SPSS, Microsoft Office, and Chinese word processing. Applicants are invited to contact Dr Winsy Wong at telephone number 3400 3117 or via email at winsyws.wong@polyu.edu.hk
-
the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
-
Ph.D. degree in Epidemiology, Biomedical Sciences, Computer Science, Data Science, or related disciplines. A proven track record in peer-reviewed publications and research experience in computer graphics
-
advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection