61 algorithm-development "https:" "Simons Foundation" research jobs at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
-
multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
-
self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
-
, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
-
highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
-
Faculty of Arts (Ref.: 534972), affiliated with the AI & Humanity Lab at the University of Hong Kong (https://ai-humanity.net ), to commence as soon as possible. The initial appointment will be for two
-
Research Hub of Population Studies (https://www.socsc.hku.hk/rhps/ ) within the Faculty of Social Sciences. Duties and Responsibilities The appointees will be primarily responsible for the following: Involve
-
an advantage. Applicants should have a strong interest in translational research, the ability to work independently as well as in a team, and the ability to contribute intellectually to research development
-
research design and execution, including the development of analytical frameworks grounded in health economics across five priority areas: (i) HA Drug Formulary; (ii) assessment and adoption of medical
-
organoid development, under the supervision of Professor Jade L. L. Teng. For inquiries, please contact Professor Teng at llteng@hku.hk . Further information about the Faculty can be found at https