39 phd-in-computer-vision-and-machine-learning Fellowship 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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) 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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: 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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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250909008) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research
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Department of Computing Postdoctoral Fellow (Ref. 250905002) [Appointment period: six months] Duties The appointee will assist the project leader in the research project – “Research on digital
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Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
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] Duties The appointee will assist the project leader in the research project – “Leveraging the power of urban informatics for policy making – a proof-of-concept study for futureproofing communities