63 data-"https:"-"https:"-"https:"-"SAPIENZA---UNIVERSITA'-DI-ROMA" Fellowship positions in Hong Kong
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Applicants should: (a) have a doctoral degree in Computer Science, Electronic Engineering, Data Science, Computational Linguistics or an equivalent qualification and must have no more than five years
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Department of Data Science and Artificial Intelligence Research Fellow (Ref. 251219008) [Appointment period: one month] Duties The appointee will assist the project leader in the research project
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- “Airport capacity investment with airport - airline vertical arrangements - economic and policy analysis of risk allocation under information asymmetry”. He/She will be required to: (a) conduct high
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with three or more years of research/relevant work experience. Preference will be given to those who have the following areas of expertise or equivalent: (a) image analysis and computer vision; (b
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of participants, data collection, including both quantitative and qualitative data; (e) draft progress and final reports; (f) liaise with participants and staff to facilitate study progression and management
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framework; (b) undertake data collection, management, and analysis in alignment with project objectives; (c) coordinate and monitor project activities to ensure timely progress and adherence
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@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly competitive remuneration package will be offered. For part-time appointment, the remuneration rate is HK$394 per
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to contact Prof. Xiaodong Xia at telephone number 3400 8826 or via email at xiaodong.xia@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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to contact Prof. Xiaodong Xia at telephone number 3400 8826 or via email at xiaodong.xia@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should