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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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; (c) provide support to the preparation of research material; (d) assist in recruitment, data collection, data entry and data analysis; and (e) perform any other duties as assigned by
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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Fuel life cycle analysis (LCA) and techno-economic analysis (TEA), they will be required to conduct life cycle environmental impact assessments of sustainable aviation fuels and other energy sources
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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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: Perform techniques such as immunohistochemistry, fluorescence microscopy, and DNA methylation sequencing to analyse neural tissues and organoids; Data Collection and Analysis: Record experimental data
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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