24 machine-learning-and-image-processing Fellowship positions at Hong Kong Polytechnic University
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-qualification experience at the time of application; (b) advanced knowledge of statistical analysis (Stata, R and Machine Learning); (c) sufficient experience in managing questionnaire surveys and
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the research project - “Radiotheranostics: emerging integrated imaging and therapies for precision oncology”. Qualifications Applicants should have a PhD degree in Medical Physics, Physics, Biomedical
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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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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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Medical Physics, Physics, Biomedical Engineering, Medical Imaging, Computer Science or other related disciplines and must have no more than five years of post-qualification experience at the time of
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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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