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statistical software such as Mplus, Stata, or R; (h) be familiar with statistical methods including autoregressive models, structural equation modeling (SEM), dynamic SEM, psychological network analysis.; (i
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unstructured textual data; (f) have good knowledge in quantitative, qualitative, and computational methods, including inferential statistics and causal inference using statistical software such as Mplus
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The appointees will assist the project leader in the research project - “Uncovering the dynamical landscape of shipping networks through big data analytics”. Qualifications Applicants for the Project Associate
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statistical software such as SPSS, R, Mplus or NVivo; (d) have good interpersonal and organisational skills; and (e) be self-motivated, well-organised, detail-minded and able to multi-task. Preference
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software such as SPSS, R, Mplus or NVivo; (d) have good interpersonal and organisational skills; and (e) be self-motivated, well-organised, detail-minded and able to multi-task. Preference will be
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- “Proactively mitigating price manipulation in Ethereum decentralized finance applications”. The appointees will be required to: (a) conduct research and engineering on software and blockchain security; (b
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projects; (c) proficiency in SPSS and Microsoft Office software including Chinese word processing; (d) a good command of both written and spoken English and Chinese, with fluency in Cantonese; and (e
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-logging development, software integration, and research reporting. For the post of Postdoctoral Fellow, the appointee will also be required to lead the biorefinery experiments, AI tool development, data
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using simulation software (e.g. AnyLogic, Netlogo). Applicants without simulation experience but with suitable core relevant backgrounds will also be considered. Applicants are invited to contact Prof
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assigned by the project leader or his/her delegates. Qualifications Applicants for the Project Associate post(s) should have a master’s degree in Computer Science, Software Engineering, Information