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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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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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of Physics (Ref.: 532531). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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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
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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
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Sciences, or related disciplines, with relevant work experience in cancer immunotherapy, cancer biomarker analysis and drug testing, as well as an excellent track record of publications. Applicants should be
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced