95 big-data-and-machine-learning-phd Fellowship positions at Hong Kong Polytechnic University
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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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-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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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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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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the research project - “Development and clinical investigation of an AI-empowered portable device for assessment of radiation dermatitis in cancer patients”. Qualifications Applicants should have a PhD degree in
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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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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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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/she will be required to: (a) conduct high-quality research in the field
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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