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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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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
innovative methods of assessment and/or advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and
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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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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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study designs, overseeing the timeline of project research outcomes, data collection, management, analysis and interpretation, preparing research reports and research papers, training research assistants
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, machine learning, analysis of unstructured and multimodal data, or advanced quantitative methods and use of AI in communication studies will have an advantage. The appointee will assist in a General
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. degree/ Doctoral degree by research/ equivalent in Cancer Biology/Biological/Biomedical Sciences, or related disciplines, with relevant work experience in cancer immunotherapy, cancer biomarker analysis
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, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell sequencing. Candidates must exhibit a strong command of written and spoken English, and
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applicants with expertise in techniques relevant to cell biology and molecular biology, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell