53 software-formal-method-phd positions at Hong Kong Polytechnic University in Hong Kong
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- "Capacity purchase of regional airlines by major airline or local government”. The project involves both theoretical economic analysis and empirical estimation through econometric methods. Qualifications
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, the Department of Applied Social Sciences offers research degrees at MPhil and PhD levels as well as taught programmes at undergraduate and postgraduate levels in various disciplines. The Department is home to
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Research Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods
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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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ready for revenge travel: The new expectation, perception and operation in hospitality and tourism industry”. Qualifications Applicants should have: (a) a doctoral degree (PhD preferred
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, Economics, Statistics or a related field, and must have no more than five years of post-qualification experience at the time of application; (b) be proficient in quantitative research methods and tools
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the research project - “Innovative retinal imaging with event-based technology: exploring early indicators of diabetic retinopathy”. He/She will be required to: (a) build the imaging system and software; (b
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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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, Electronic Engineering or a related discipline; (b) have good knowledge and hands-on project experience in Python, AI or other software programming languages. Proven project experience in AI applications
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responsibility. Preference will be given to those with interest and potential in pursuing a PhD in Innovation Management. Applicants are invited to contact Prof. Ryan Wang at telephone number 2766 7357 or via