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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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progress deviation monitoring system (ACPDM) based on mobile mapping system”. He/She will be required to: (a) participate in the design, development and maintenance of BIM software or plugins; (b
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twelve months] Duties The appointees will assist the project leader in the research project - “Develop a vision-language model-based smart driving assistant for enhancing safety and convenience
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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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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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) research and develop novel deep learning models for medical image analysis; (c) research and develop novel XR paradigms/algorithms for computer-assisted surgery; (d) research and develop novel learning
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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
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twelve months] Duties The appointees will assist the project leader in the research project - “Develop a vision-language model-based smart driving assistant for enhancing safety and convenience
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, immunohistochemistry, EEG/EMG in mice is strongly preferred. Experience in molecular cloning or computational modeling is a plus. The appointee should be organized, self-motivated and be able to work independently as
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Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling