Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. The University only accepts online application for the above posts. Applicants should apply online at the University's career site (http://jobs.hku.hk), with (a) an executive summary describing their most
-
qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical
-
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
-
time zones. Enquiries about the duties of the post may be directed to Chair Professor Herman Cappelen (hwcapp@hku.hk ). Information about the Department of Philosophy is available at https
-
more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning
-
/Project Associate post should have a master’s degree or a good honours degree with three or more years of research/relevant work experience, preferably with experience in generative AI, multimodal learning
-
five years of post-qualification experience at the time of application; and (b) IEEE transactions journal publications track record on permanent magnet synchronous machines. Applicants are invited
-
across Asia The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., and
-
post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., and publications. Review of applications will start as soon as possible and
-
research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential