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for tumor suppressors and oncogenes using mouse models, functional studies for the immune cells in tumor microenvironment and cancer biomarker analysis and drug testing in vitro and in vivo. Applicants should
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analysis and drug testing in vitro and in vivo. Applicants should be self-motivated, able to work independently as well as in a team, and able to help supervise Ph.D. students. They should also have
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process
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or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis
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on research projects related to health service research and/or global healthy aging promotion, and assist in research grant application, project leadership, data analysis and research dissemination. A highly
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis
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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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will work on research projects related to health service research and/or global healthy aging promotion, and assist in research grant application, project leadership, data analysis and research