775 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Hong Kong
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Industrial Centre, please visit the website at https://www.polyu.edu.hk/ic/ . Job Functions The appointee will be required to: (a) provide visionary and strategic leadership to the Centre by formulating and
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areas. Information about the Department can be obtained at http://www.mech.hku.hk . We welcome candidates from the following areas of Mechanical Engineering: Aeronautics /Space Robotics/Autonomous
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and enhancement of curriculum. Contributing to the academic and administrative duties of the Academy. Engaging in teaching and learning development activities appropriate to their level of appointment
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the posts are filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407957/research-officer/?T… Requirements Additional Information Work Location(s) Number
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Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408223/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE
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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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Responsibilities The appointee will be expected to teach courses offered in postgraduate programmes related to international organizations, and/or global governance. He/She will also contribute actively to research
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to the community. Please visit the website at https://www.polyu.edu.hk/bre/ for more information about the Department. The Department is looking for enthusiastic, established and suitably qualified person to join
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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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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