774 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions in Hong Kong
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upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 15 March, 2026, or until the post is filled, whichever is earlier. Where to apply Website https
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. Information and Application Further information on the posts and the University is available at http://www.cityu.edu.hk , or from the Department of Veterinary Clinical Sciences, City University of Hong Kong
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Application Further information on the posts and the University is available at http://www.cityu.edu.hk , or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong
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its pre-eminence as a research-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service
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online at the University’s careers site (https://jobs.hku.hk ) and upload the following documents: a cover letter; an up-to-date C.V.; an official Ph.D. certificate (if available) and/or transcripts; a
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of Engineering. The Department currently offers undergraduate and postgraduate programmes and actively engages in various research and consultancy work. Please visit the website at https://www.polyu.edu.hk/aae
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at https://lms.polyu.edu.hk for more information about the Department. The University is now inviting applications and nominations for the post of Head of Department of Logistics and Maritime Studies
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needs. The School is based in a Zaha Hadid designed building well-equipped for innovative research and creative learning on the main campus of the University. Please visit the website at https
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researchers to join us in pushing the boundaries of mechanical engineering. Information about the Department can be obtained at http://www.mech.hku.hk . Applicants should possess a Ph.D. degree in Mechanical
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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