81 big-data-machine-learning-phd Fellowship positions at Hong Kong Polytechnic University
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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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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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Department of Data Science and Artificial Intelligence Postdoctoral Fellow / Research Assistant (Ref. 250915013) (1) Postdoctoral Fellow (two posts) [Appointment period: each for twenty-four months
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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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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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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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assigned by the project leader or his delegates. Qualifications Applicants for the Research Fellow post should have a doctoral degree in Design, Psychology, Information Science, Human-Computer Interaction
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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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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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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree