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, proactive facility management, building/city health check, and next-generation BIM and digital twins. Having expertise in leveraging advanced digital methods, big data analytics, machine learning, generative
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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the following: PhD and/or MD degree in Biomedical Engineering, or in STEM-related fields. Distinguished record of academic achievements and international recognition in research, scholarship and teaching. Proven
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duties Supporting various laboratory’s events & activities Handling other relevant tasks as assigned by the supervisor(s) Requirements A PhD degree in Mechanical Engineering, Biomedical Engineering
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with (1) a PhD in mental health, social work, psychology, health economics, or other related disciplines; (2) strong teamwork skills; (3) good leadership skills; and (4) good time management. Applicants
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academic degrees (e.g. MD, MS, PhD); Over fifteen years of significant experience in healthcare and/or academia, with at least the past five years in leadership roles; A distinguished career marked by
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-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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research methods is also a plus. Candidates with a strong publication record in reputable academic journals and/or with leading publishers are especially encouraged to apply. The appointee is expected