177 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Research Officer in the Department of Physics (Ref.: 534277) We now invite applications for the captioned post available in the newly established State Key Lab for Quantum Optical Materials (https
-
Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408223/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE
-
-quality research and actively participating in research communities. He/she will also be expected to contribute to the development and delivery of teaching in the Faculty’s undergraduate and postgraduate
-
the posts are filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407957/research-officer/?T… Requirements Additional Information Work Location(s) Number
-
online at the University’s careers site (https://jobs.hku.hk ) and upload the following documents: a cover letter; an up-to-date C.V.; an official Ph.D. certificate (if available) and/or transcripts; a
-
) We now invite applications for the captioned post. Duties and Responsibilities Assist in a collaborative research project on the development and widespread implementation of a telerehabilitation
-
researchers to join us in pushing the boundaries of mechanical engineering. Information about the Department can be obtained at http://www.mech.hku.hk . Applicants should possess a Ph.D. degree in Mechanical
-
, and supervise research postgraduate students. He/She is also expected to perform administrative duties. Information about the Department can be obtained at http://www.surgery.hku.hk . A highly
-
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
-
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