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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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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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, 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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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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environmental changes. Duties and Responsibilities Conduct independent and collaborative research in ocean remote sensing and related fields. Develop and apply advanced methods in satellite data analysis, AI, and
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collaborative research in ocean remote sensing and related fields. Develop and apply advanced methods in satellite data analysis, AI, and field validation. Publish research in leading peer-reviewed journals
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, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent, interdisciplinary cell biology, molecular biology research in model organisms or cells Collect, analyse
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PhD in the above subject area and a proven track record of productivity. Experiences in microscopy, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent
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programs, oversee data collection and analysis, prepare reports and presentations, supervise research assistants, and perform other relevant tasks as assigned. There will be many opportunities to collaborate
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes