25 image-processing-and-machine-learning Postdoctoral positions at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
-
data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
-
to digital divide, learning and assessment of digital competence/AI literacy in diverse contexts beyond formal school settings would be a strong advantage. The ability to work on a tight schedule to meet
-
development workshops for teachers and school leaders on STEAM education, artificial intelligence, science education, language education, self-directed learning and innovation leadership; coordinate and liaise
-
the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 532723) Applicants should process a Ph.D. degree preferably in Cancer Genetics, Cancer Biology, Biological and Biomedical Sciences or a
-
learn and perform state-of-the-art research for drug target identification and drug development. Enquiries about the duties of the post should be sent to Professor Clive Chung at cyschung@hku.hk
-
are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas
-
record of publishing in top international journals is highly desirable. Preference will be given to those with experience working on projects related to bioinformatis, animal surgery, or artificial
-
transport theory, and mesoscopic systems are preferred. Applicants who are in the process of completing a Ph.D. degree will also be considered. A highly competitive salary commensurate with qualifications and
-
data visualization skills Self-motivated, scientifically mature, attentive to details Ability to acquire new biostatistical techniques by self-learning Able to work independently and in collaboration