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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential
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, analysis and deep learning, 2) biostatistics and health/clinical data analysis or 3) cellular and molecular techniques will be an advantage. Opportunities for publication and independent development will be
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. The Center emphasizes rigorous measurement, causal analysis, and clear communication of research findings. The Center is a joint initiative of the Faculty of Social Sciences and the Economics Department at HKU
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
considered for appointment as a Senior Research Assistant. The appointee will work closely with the Principal Investigator and the project team in the “Psychometric and Statistical Analysis for Assessing
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experiences with those of North America and Europe. The Center emphasizes rigorous measurement, causal analysis, and clear communication of research findings. The Center is a joint initiative of the Faculty
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involving animal immunization, immune assays, flow cytometry, cell imaging, deep sequencing and data analysis, etc. Enquiries about the post should be sent to the AIDS Institute at aidsinst@hku.hk . A highly
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals or other means Draft proposals, reports and
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
with the Principal Investigator and the project team in the “Psychometric and Statistical Analysis for Assessing Longitudinally Students’ Growth in their Capacity for Learning in a Digital World (LDW
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knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of clinical genomics, single cell RNA-sequencing and transcriptomics