13 molecular-modeling Fellowship research jobs at Hong Kong Polytechnic University in Hong Kong
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in Biomedical Science or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; and (b) a strong background in molecular
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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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qualification. For all posts, applicants should also have: (a) strong knowledge of and experience in biomedical engineering, neuroscience or neurobiology, biophysics, cellular/molecular biology, preferably
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: each for twelve months] Duties The appointees will assist the project leader in the research project - “Development of high-strength fishing lines with ultrahigh molecular weight polyethylene
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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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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
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and