183 evolution "https:" "https:" "https:" "https:" "U.S" "St" positions at THE UNIVERSITY OF HONG KONG
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with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/ . The School of Computing and Data Science The School of Computing and Data Science (CDS
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through the University’s careers website (https://jobs.hku.hk ) and upload an up-to-date CV, cover letter (not exceeding 300 words), research proposal (not exceeding 1500 words), and writing sample
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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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Department can be obtained at http://www.mech.hku.hk . Applicants should possess a Ph.D. degree in Mechanical Engineering or a related engineering field with an excellent research record. The appointee is
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is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408219/post
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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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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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and libraries. How to Apply 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
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role in educational research and professional training as a major provider of teacher education programmes and has contributed significantly to education policy and development in Hong Kong with its
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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