21 machine-learning-phd-in-denmark Fellowship positions at Hong Kong Polytechnic University
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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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for the Postdoctoral Fellow post should have (i) a PhD degree in Physics, Materials or Engineering and must have no more than five years of post-qualification experience at the time of application; and (ii) at least
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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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[Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Research on high-efficiency ultra-precision damage-free machining of the third
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- “Development of robot-assisted ultra-precision machining technology and equipment for micro/nanostructured device”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or
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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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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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) 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 research project - “UAV-based inspection of aircraft with deep learning-based visual inspection system”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have
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The appointees will assist the project leader in the research project - “Enhancing robotic learning with 3D multimodal large language models (MLLMs): methods and applications”. Qualifications Applicants