104 phd-in-computer-vision-and-machine-learning positions at Hong Kong Polytechnic University
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific
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responsibility. Preference will be given to those with interest and potential in pursuing a PhD in Innovation Management. Applicants are invited to contact Prof. Ryan Wang at telephone number 2766 7357 or via
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be
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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
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ability to work collaboratively with team members. Preference will be given to those who have a PhD in Assessment or Applied Linguistics or a related discipline, and have research experience of computerised
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, with possibility of further appointment] Duties The appointee will assist the project leader in the research project - “Optimization of vision with novel optical designs and engineering”. He/She will be
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development of computer programmes for numerical computation of electromagnetic field and software architecture. Applicants are invited to contact Prof. Shuangxia Niu at telephone number 2766 6183 or via email