14 combustion-modelling-postdoc 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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constraints using multi-scale feature fusion and generative data augmentation to enhance LVLM perception capabilities; (c) optimise model efficiency: implement model distillation techniques to compress LVLMs
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device simulation and modelling. Applicants are invited to contact Dr Zhiwen Ren at telephone number 2766 6241 or via email at zhiweipv.ren@polyu.edu.hk for further information. Conditions of Service A
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evaluate the efficient novel models optimised for game development with photo-realistic game scenes; and (c) perform any other duties as assigned by the project leader, the Head of Unit or their delegates
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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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) support major BIM platforms, such as Revit and AutoCAD; (c) develop BIM-related functional modules, including model parsing, data interaction, automated modelling, and collaborative design; (d
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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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aviation or aerospace fields and a demonstrated track record of publications in reputable journals or conferences; (c) solid skills in data analysis, modeling or simulation related to aviation systems
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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
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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