53 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions in Hong Kong
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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, quoting the job reference number, with information on current/expected
-
, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one
-
oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk . Information about the School can be obtained at http://sph.hku.hk . Those who have responded
-
. The current publications of Prof. Zhang can be found at: https://scholar.google.com/citations?user=-mbKVoEAAAAJ&hl=en A competitive salary commensurate with qualifications and experience will be offered, in
-
expected to take up a leading role to oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk . Information about the School can be obtained at http://sph.hku.hk
-
to on-campus gyms and libraries. The University only accepts online application for the above posts. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up
-
post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
-
advertisement (Ref: 526276) need not re-apply. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https
-
post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
-
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