12 computer-programmer-"https:"-"https:"-"https:"-"KU-LEUVEN" research jobs at THE UNIVERSITY OF HONG KONG
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Sep 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Ref.: 534748 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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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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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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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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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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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with
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or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written and
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Bachelor’s degree or above in Psychology, Social Sciences, Public Health, Nursing, Medicine, Computer Science, Information Technology, Health Informatics, Education or other related disciplines; with at least
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or