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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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with the Research Coordinators and Project Managers to define analysis plans and ensure data quality for specific projects. Prepare analysis datasets, reports, and visualisations for both internal
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implants. Contribute to research and development initiatives for implants and instruments as part of grant-funded and industry partners. Oversee data analysis pipelines and perform statistical analyses
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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computational approaches, including algorithm-guided design, sequence and structure-based analysis, epitope-related studies, and functional evaluation to support antibody development and mechanistic investigation
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
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any period with a strong element of modern technology. Preference will be given to candidates with expertise in the interaction of literatures in English and Artificial Intelligence (AI) at the cutting
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strong interest in cryo-EM methodology development, nanomaterials, and structural analysis of biological samples. The appointee will conduct basic science and translational research focused on integrating
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of cancers, metabolic disorders, aging-related diseases, mental disorders and autoimmune diseases as well as quality control of Chinese herbal medicine. He/she will perform related research analysis, conduct
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postgraduate levels. Expertise in bioinformatics, high-throughput sequencing data analysis, and computational biology is essential. Skills in applying data science and artificial intelligence to biomedical