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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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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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particular, conducting literature reviews and conceptualization, proposing evaluation plan for interventions, facilitating data collection and analysis, paper-writing and conducting some knowledge exchange
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analysis and manuscript preparation for the projects. They are expected to work independently on project management, proposal preparation and mentoring junior research staff members. This job advertisement
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knowledge and/or background in the area. Previous experience in one of the following areas, including assessment and feedback, curriculum design, e-learning, data analysis, and advanced statistical skills
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ethical approval application, consent form and information sheet preparation, instrument development and validation, scale development, data cleaning and analysis, and report writing. Support the PI in
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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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the analysis of large and complex datasets; iv) excellent written and oral communication skills; and v) the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability