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biocatalysis. The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate
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wet bench experiments including stem cell culture, western blotting, molecular biology, microscopy, histology, and flow cytometry Involved in downstream bioinformatics analysis Willing to learn mouse
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biocatalysis. The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate
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Data Integration Apply for Funding and Grants Writing Scientific Manuscripts Maintenance of Bioinformatics Pipelines in the Lab Key Competencies and Qualifications requirements: A Ph.D. degree in
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assays for microbial quantification and aptamer validation. Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics
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for drug target discovery, computational biology, advanced bioinformatics, and novel AI algorithms for identifying drug targets in complex diseases such as chronic kidney disease, idiopathic pulmonary
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bioinformatic approaches will be developed to integrate these datasets in order to identify spatial and temporal interaction maps. Ultimately, this work aims to identify mechanically linked molecular pathways and
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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-generation technologies, and clinical samples to advance novel therapeutic development. As a Research Fellow, you will lead cutting-edge molecular, immunological, and bioinformatics projects, collaborating
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outlets. Required educational qualification, experience, skills and competencies: PhD graduates, in medical AI, healthcare informatics, bioinformatics, computer science, AI implementation science, or