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intelligence. The appointee will be involved in laboratory research and data analysis. He or she may participate in the training of junior research students and other duties as assigned. For further information
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of neurodegenerative disease, hard-to-cute diseases, depression and pain. He/she will perform related research analysis, conduct clinical study, write reports and papers, assist in supervising postgraduate students and
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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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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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be requested to arrange for at least three references, including one from their PhD supervisor/advisor. Review of applications will commence as soon as possible and continue until November 30, 2025
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of renewal subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work
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research related to nanomedicine Manage data collection and analysis Assist in organizing dissemination events Prepare research reports and documentation Perform additional duties as assigned Enquiries about
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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on research projects related to gene-editing and other research-related projects Assist in data acquisition and analysis, write-up the results, prepare scientific publications, draft research grants, and
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and