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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
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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
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with a Master’s degree with at least 1 years’ post-qualification experience may be considered for appointment as Senior Research Assistant. They must be proficient in data analysis using statistical
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, and/or genomic medicine. In particular, we seek applicants with expertise in techniques such as single-cell and spatial transcriptomics, genome-wide DNA methylation analysis, CRISPR/Cas-mediated genome
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spoken English and Chinese; outstanding communication skills; and the ability to multitask and work independently as well as in a team. Experience in healthcare data analysis and related track records
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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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