425 data-"https:"-"https:"-"https:"-"https:"-"GEORGETOWN-UNIVERSITY" positions at Hong Kong Polytechnic University in Hong Kong
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project - “STF -automotive component data- driven and real-time predictive universal vehicle self-diagnosis system”. Qualifications Applicants should have: (a) a doctoral degree in Mechanical Engineering
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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) assist in experimental design, stimuli preparation, data collection and data analysis; (b) assist in writing the literature review; and (c) perform any other duties as assigned by the project leader
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information / statistics for data analysis to facilitate review of various HR related policies; (d) provide logistics and administrative support to meetings and staff forums; (e) coordinate with
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Department of Data Science and Artificial Intelligence Research Assistant (three posts) (Ref. 260420001) [Appointment period: each for twelve months] Duties The appointees will assist the project
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of strategic management and/or demonstrate high abilities in advanced secondary data manipulation and analysis. Applicants are invited to contact Prof. Zhang Huihui at telephone number 3400 2331 or via email at
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wearable sensing devices and human-computer interaction systems; and (d) be able to fabricate multi-material and multi-functional magnetic fibers to construct a fiber-based actuating system for a wearable
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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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- “Cancer and migration in Hong Kong: A translational research project”. He/She will be required to: (a) conduct various forms of data analysis for the project, including transcription and qualitative and
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. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large accounting or finance datasets, or have a proven record in utilizing APIs and