166 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Hong Kong
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contract. Information and Application Further information on the post and the University is available at https://www.cityu.edu.hk , or from the Human Resources Office, City University of Hong Kong, Tat Chee
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The University only accepts online applications for the above posts. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload the following documents: a cover letter; an up
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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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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is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408219/post
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obtained at https://sph.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts
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. Please visit the website at http://www.polyu.edu.hk/ise for more information about the unit. Duties The appointees will be required to: (a) conduct high-impact research in the areas of Smart
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multi-disciplinary undergraduate and postgraduate programmes and actively engages in various applied research and consultancy work with the community. Please visit the website at http://www.polyu.edu.hk
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(25260475) Responsibilities: The Department is recruiting a scholar at the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related
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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