32 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Hong Kong
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Ref.: 532531 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
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Ref.: 532117 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
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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
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and
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to digital divide, learning and assessment of digital competence/AI literacy in diverse contexts beyond formal school settings would be a strong advantage. The ability to work on a tight schedule to meet
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, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology
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development workshops for teachers and school leaders on STEAM education, artificial intelligence, science education, language education, self-directed learning and innovation leadership; coordinate and liaise