167 evolution "https:" "https:" "https:" "UCL" positions at THE UNIVERSITY OF HONG KONG
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philosophy, social philosophy, aesthetics, and other cognate areas). This appointment will be affiliated with the Hong Kong Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected
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professional development. The University only accepts online applications 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
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) 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
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to the advancement of society and the development of leaders locally, regionally, and globally, seeking to make a positive social contribution through a global presence, regional significance and engagement with
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will start as soon as possible and continue until September 19, 2026, or until the post is filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408930
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-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
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the Department. Enquiries about the post should be sent to the Chair of Selection Committee (e-mail: hrpsyc@hku.hk ). Information about the Department can be obtained at https://psychology.hku.hk . A highly
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of teacher education programmes and has contributed significantly to education policy and development in Hong Kong with its strong expertise in policy analysis and curriculum development. The Faculty
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the possibility of renewal) Applicants should have a Ph.D. degree in Philosophy, or a related field. Preference will be given to those with experience in teaching and programme development on philosophy
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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