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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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. 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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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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, 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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, 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
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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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Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills
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surgery. The duties include but not limited to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity