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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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years of full-time teaching experience at the tertiary level. Past teaching should include introductory to intermediate-level undergraduate courses in computational methods, e.g., programming, data
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Neutrality is at the forefront of climate education and research. Our Master of Climate Governance and Risk Management (MCGRM) program equips students with the essential skills and knowledge to address complex
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May 2026 - 00:00 (UTC) Country Hong Kong 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 the Job related to
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Deadline 30 Jun 2026 - 00:00 (UTC) Country Hong Kong 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 the Job related
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Deadline 30 Apr 2026 - 00:00 (UTC) Country Hong Kong 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 the Job related
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage
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2 Apr 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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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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Senior Lecturer/ Lecturer/ Assistant Lecturer in the HKU Institute for Climate and Carbon Neutrality
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 534923 Work type: Full-time Department: HKU Institute