35 machine-learning-phd research jobs at Hong Kong Polytechnic University in Hong Kong
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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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should: (a) have a PhD degree in Biological Science, Medical Science or a related field and must have no more than five years of post-qualification experience at the time of application; (b) have
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or Computing/Information Science (e.g., Computer Science, Human-Computer Interaction, AI) or related disciplines or an equivalent qualification and must have no more than five years of post-qualification
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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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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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development and implementation of deep learning models and robotic systems for the automated analysis of multimodal ophthalmic imaging data e.g. Optical Coherence Tomography (OCT), fundus photography, etc.; (b
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have an honours degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing
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of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing; (b) a good command of written and
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction/Cultural Studies and/or knowledge of Cantonese. Applicants are invited to contact Prof