73 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Hong Kong
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. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding performance in Physics or related
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Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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or the Director of the Museum Studies Programme or the PI. Applicants must have a PhD degree in Chemistry, Material Science and Engineering, Physics, or related disciplines, or in Conservation/Heritage
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) Country Hong Kong Application Deadline 10 Mar 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in education, or learning analytics. Familiarity with theories
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, machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas