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, the institute undertakes multiple projects in parallel, and opportunities will exist to participate in a variety of workstreams that align with your interests.
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to clinical applications. Data Analysis & Scientific Communication Conduct bioinformatics and statistical analyses of large-scale omics datasets. Prepare research reports, manuscripts, grant applications, 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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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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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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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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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