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calorimetric analysis, visible-UV, infrared and Raman spectroscopy. Perform complex data analysis and interpret experimental results. Prepare manuscripts and reports. Publish research findings in high-impact
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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interpretation of experimental data; Teamworking experience; Publication record commensurate with career stage. Demonstrate proficiency with data analysis tools (e.g., Python/Matlab/Origin). Have the ability
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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Science disciplines. Applicants are invited to contact Prof. Hongyu Yu at telephone number 2766 7804 or via email at hongyu.yu@polyu.edu.hk for further information. Conditions of Service A highly
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will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data sets
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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization