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qualitative and quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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scholars, government agencies, and private businesses, develop collaborative research proposals and research plans conduct research, including research design, ethics approval, data collection, analysis
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implementing rigorous measurement models, and conducting innovative research in their field. Proficiency in data analysis is essential, and the candidate should showcase a track record of excellence in handling
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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Salvador, Brazil. The post-holder will also contribute to the laboratory analysis, data cleaning and management, and data analysis and write-up a study to assess environmental exposures to enteric pathogen
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for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
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Solution Centre SAS-C, HUJ, NUS, A*STAR and industrial partners. In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on AI and data science in controlled
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Remuneration: $118,974 - $141,283 p.a. Level B plus 17% employer superannuation Develop data management protocols for data analysis Analyse high-frequency neuro data from ICU trials Drive innovation in
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students