95 big-data-machine-learning-phd Fellowship research jobs at Hong Kong Polytechnic University
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research and assist in project coordination for visually impaired guidance. For the Research Associate posts, the appointees will be required to involve for the post-training large language models
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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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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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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mixed-methods research, encompassing both qualitative and quantitative research; (c) be adaptable to manage large-scale research projects; (d) have the ability to work independently and
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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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the research projects - “Monitoring and predicting slope instability in forested terrain from multi-mode remote sensing data” and “Resilience of rural infrastructure and communities to climate change
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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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application; (b) experience in conducting human neuroscience research and/or be proficient in computer programming, e.g. Matlab and Python; (c) a good command of both written and spoken English; and (d
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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