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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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Waves and THz; Control Systems; Nanotechnology for Optoelectronics and Biosystems; Communications and Networking; Power Systems; and Computer and Data Engineering. Requirements A PhD in Electronic
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English; (c) have good IT skills including the use of common office and online publishing software; (d) have good communication and interpersonal skills; and (e) be proactive, self-motivated and
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-dimensional statistics, semiparametric/nonparametric methods, and Bayesian statistics. The teaching duties will be assigned by the Head of Department with a reduced teaching load in the first year of
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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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to applicants with expertise in AI in business applications, business analytics, and digital transformation but other MIS fields will also be considered. Applicants must hold a PhD degree. Applicants should be
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development at undergraduate and postgraduate levels; (b) supervise MPhil and PhD students; (c) engage in scholarly research, consultancy and other scholarly activities leading to publications in top-tier
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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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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their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior