27 high-performance-computing-postdoc uni jobs at Hong Kong Polytechnic University in Hong Kong
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the research project - “Internal: Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) an honours degree
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) code the data (knowledge of Nvivo is preferred); (c) conduct various forms of data analysis for the project, including statistical analysis of assessment data and corpus data; and (d) perform any
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the project leader with relevant research; and (c) perform any other duties as assigned by the project leader or his/her delegate(s). Qualifications Applicants should have a master’s degree in Applied
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project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a doctoral degree in a related field
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administrative support to the NE programme and the project under the College of Undergraduate Studies; (e) liaise with students as well as internal and external stakeholders; and (f) perform any other duties
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-based AI inspection and service performance”. Qualifications Applicants should have: (a) a master’s degree or a good honours degree, preferably a doctoral degree, with at least three years of research
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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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systems and the mobile app to support institutional teaching and learning initiatives; (b) assist server administration and maintenance; (c) prepare technical documentation for the project; and (d) perform
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of performing data analysis using Stata and SAS. Applicants are invited to contact Prof. Ma Yujing via email at yu-jing.ma@polyu.edu.hk for further information. Conditions of Service A highly competitive
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, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at