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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
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the timeline of project research outcomes, data collection, management, analysis and interpretation, preparing research reports and research papers, training research assistants, and performing other duties as
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, Ecology, or Environmental Science. Essential qualifications include demonstrated, hands-on experience in biodiversity research, including study design, field work, specimen identification, data analysis and
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Science. Essential qualifications include demonstrated, hands-on experience in biodiversity research, including field work, specimen identification, and data analysis. The ideal candidate will be organised
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research, including field work, specimen identification, and data analysis. The ideal candidate will be organised, self-motivated, and capable of working effectively both independently and as part of a team
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with a Master’s degree with at least 1 year's post-qualification experience may be considered for appointment as Senior Research Assistant. They must be proficient in data analysis using statistical
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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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, public health, statistics, or a related discipline; or a master’s degree with relevant research experience; Proficiency in data analysis using statistical software such as SPSS or R; Strong analytical
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-on experience in biodiversity research, including study design, field work, specimen identification, data analysis and report writing. The ideal candidate will be organised, self-motivated, and capable