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population Use of transdisciplinary research methods (e.g. use of geographical information system and big data) in research with older adults Responsibilities: The successful candidate will be housed in one
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-based systems, as well as be familiarized with the following areas: program analysis (e.g. static analysis, symbolic execution), software testing or fuzzing, smart contract development (e.g. Solidity
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degree in Business, Corporate Communication, Project Management or a related discipline; (b) have experience in event management; (c) have basic knowledge of computer software applications, including
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(f) proficiency in computer software applications, including MS office and Chinese word processing. Shortlisted candidates will be invited to sit for a written test. Conditions of Service A highly
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. Minimum 3 years
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
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: Applicants should possess a relevant PhD degree with a solid track record in research. Candidates with strong background and research experience in molecular and cell biology, biochemistry, or genetics
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retirement benefits. Requirement and Application Procedures Applicants for non-clinical positions should be holders of PhD degree. For clinical positions, applicants should have a medical qualification
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an evidence-based outcome measurement framework for the project; Conduct comprehensive impact measurement research on the project with both qualitative and quantitative methods; Strengthen and refine key