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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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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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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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, 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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experiments involving molecular biology techniques and biostatistical analysis Undertake other duties as assigned 5.5 workday per week is required Requirements a Ph.D. degree, preferably with experience in
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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of photonics, topological physics, and nanophysics design/refine the research instruments coordinate data collection and analysis support the organization of dissemination events assist in the preparation
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the research instruments coordinate data collection and analysis support the organization of dissemination events assist in the preparation of reports and manuscripts perform other duties as assigned