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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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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS
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of responsibility and commitment. Preference will be given to those with previous research experience in virus-host interaction, influenza viruses and animal models. Eligibility to work in Biosafety
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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
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, Mechanics, Physics or related disciplines Preferably with research experience in cell and tissue mechanics, theoretical modelling of the collective behavior of cells, and multi-scale simulations. With strong
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statistical modeling as well as the design and validation of performance assessment and psychometric instruments is mandatory. Familiarity with mixed-methods and/or intervention research for youths/vulnerable
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culture, molecular and cell biology, and animal models. Those with a Master’s degree plus at least 1-year post-qualification experience or Bachelor’s degree with 3-year post qualification may be considered
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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on projects related to AI-based dental prostheses design and materials optimization algorithm development, under the supervision of Professor James Tsoi. No biology, biomaterials or patient contact will be
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. Preference will be given to those with experience in handling human iPSC-based cell- and/or organoid- platforms. The appointee will join a young and dynamic research group working independently and