169 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs in Hong Kong
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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 to ample
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business analytics, operations research, operations/supply chain management, machine learning, artificial intelligence, or related fields by September 2026. Preference will be given to those with a proven
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload
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Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected to participate actively in the work of the Hong Kong Ethics Lab. Applicants should submit project proposals (max 5 pages
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philosophy, social philosophy, aesthetics, and other cognate areas). This appointment will be affiliated with the Hong Kong Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected
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at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until April 30, 2026, or until the post(s) is/are filled
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-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and drug discovery, collaborate with experts in the field, and develop critical research skills. For more
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anticancer therapeutics. The appointee will have a good opportunity to learn and perform state-of-the-art research for drug target identification and drug development. Enquiries about the duties of the post
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. The Society aims to establish a vibrant research community where Fellows interact with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term