209 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Hong Kong
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microphotonics/microelectronics and quantum technology. Candidates will be responsible for both research and teaching. They are expected to teach courses at the undergraduate and postgraduate levels, specifically
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unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy
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of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not
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of application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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Center for Fundamental Physics (IAS CFP) (https://cfp.ust.hk ) of The Hong Kong University of Science and Technology (HKUST) invites applications for postdoctoral positions in the areas of theoretical
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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and in the promotion of the highest standards of nursing practice. Further information about the School is available at http://www.nur.cuhk.edu.hk/ . Assistant Professor Applicants should have (i) a PhD
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English and Chinese Able to work independently and in a multidisciplinary team Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial
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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