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availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering, Automation, or a related field, along with a minimum of two years of relevant
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at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not to make an appointment for the post advertised, and the appointment
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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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information, please contact Professor Stephanie Ma at stefma@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be
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@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be obtained at http://www.sbms.hku.hk/ . A highly
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only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk ). A thesis abstract (up to 1
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proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position
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at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not to make an appointment for the post advertised, and the appointment
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accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 2 referees
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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