90 phd-position-in-data-modeling Fellowship positions at Hong Kong Polytechnic University
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@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 18 Aug 2025 until the position is filled
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling
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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
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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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) 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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) 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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for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 31 August 2025 until the position is filled. Apply Now
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– “An empathetic navigation system design and implementation based on drivers’ emotion inference from traffic contextual data”. Qualifications Applicants for the Postdoctoral Fellow post should: (a) have a
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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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Department of Data Science and Artificial Intelligence Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 250407001) (1) Research