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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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, 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
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling
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well as in a team. Experience in healthcare data analysis and related track records of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project
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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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, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability