291 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Hong Kong Polytechnic University
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Imaging & Radiation Science, Medical Physics, and Medical Data Science. HTI cultivates future leaders with both professional expertise and scientific vision, fostering an inclusive learning environment
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(micro) to human motion (macro) have not only led to scientific discoveries but also generated successful knowledge transfers. For more information, please visit http://www.polyu.edu.hk/bme . Duties
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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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managing the laboratories, coordinate various tasks with lab-in-charges of teaching/research laboratories for matters related to teaching and learning, research and promotion of the department; (d
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ideas, critical thinking and practical skills. Please visit the website at http://www.polyu.edu.hk/bme for more information about the Unit. Duties The appointee will be required to: (a) teach at
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visit the website at https://mm.polyu.edu.hk/ for more information about MM. Applicants are invited to contact Professor Wu Liu, Head of Department of Management and Marketing by email at wu.liu
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CNERC-Steel, please visit the website at https://www.polyu.edu.hk/cnercsteel/ . The University is now inviting both internal and external applications and nominations for the post of the Director of CNERC
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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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) provide vision, leadership and strategic direction on the exploitation of emerging digital technologies, such as Artificial Intelligence (AI), Machine Learning, cloud computing, Internet of Things (IoT) and
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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