Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, clinical monitoring, data verification, drug supply management and vendor management; Oversee study centres’ compliance with study protocols, Good Clinical Practice (GCP) and other research ethics and
-
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
-
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
-
- “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
-
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
-
-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
-
-centred design; Familiarity with qualitative coding, thematic analysis, or research software; Experience conducting literature reviews, systematic reviews, or abstract screening; Experience with Unity, VR
-
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
-
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
-
Biomechanics and Sports Science; and (b) software and modeling skills in OpenSim, Vicon, Zebris, Python and MATLAB. Applicants are invited to contact Dr Meizi Wang at telephone number 6315 7129 or via email