14 data-"https:"-"https:"-"https:"-"https:"-"Central-European-University-(CEU)" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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upload an up-to-date C.V., with the contact information of at least 3 referees. Applications will be reviewed on a rolling basis, and interviews will commence immediately upon receipt of suitable
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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C.Y. Ng to pursue research in areas related to neutron stars, pulsar wind nebulae, or supernova remnants. Applicants with experience analysing radio interferometer data are especially encouraged
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administer questionnaires, analyze data, assist in report writing, and writing-up of manuscripts Perform other duties as assigned Requirements A Master's degree or above in Nursing Studies, Medical Sciences
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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information of at least 2 referees. Review of applications will start from 23 March, 2026 and continue until 2 April, 2026, or until the posts are filled, whichever is earlier.
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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data