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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
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plasticity with a focus on cancer stemness using hepatocellular carcinoma as a model system, that is part of a theme-based collaborative project. For further information, please contact Professor Stephanie Ma
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, and assessing the impact on disease progression. Develop relevant disease models to assess therapeutic efficacy of a specific treatment. Demonstrate understanding of the disease pathology for better
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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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research and appreciate the complexity of biological systems are particularly encouraged to apply. The abilities to work independently, participate in highly collaborative projects, and contribute
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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment