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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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record demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq
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adolescents, supervision of research interns, data processing, and other research-related duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in
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experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
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: Collecting, cleaning, and analysing research data under supervision, ensuring accuracy, quality and integrity throughout the process. Preparing comprehensive technical reports detailing research methods
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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throughout the process. Preparing comprehensive technical reports detailing research methods, findings, and implications. Developing manuscripts for submission to high-impact academic journals and presenting
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. The appointment will be offered on a fixed-term contract of two years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications
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review, development of assessment materials, liaise with external parties, supervision of research staff and research interns, data processing and analysis, preparation of manuscripts and reports
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, coordination of research activities, conducting assessments with children and adolescents, supervision of research interns, data processing, and other research-related duties as assigned. A highly competitive