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integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies
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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 on clinical and
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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subject to satisfactory performance. Applicants should possess a Ph.D. degree in Chemistry with a strong background and experience in Synthetic Metal-Organic Chemistry, Photophysics, Luminescence and Light
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invite applications for the captioned post. Duties and Responsibilities Work with the Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis
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the molecular mechanisms of human DNA damage response and repair via an integrated approach that includes biochemistry, molecular biology, and cryo-electron microscopy (single-particle analysis and electron
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel biomarkers and therapeutic targets. Prepare high-quality manuscripts
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within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals or other means Draft
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
cell (iPSC) technology to create disease-in-a-dish models for high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel