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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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epidemiology, bioinformatics, computational biology). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Experience analyzing large
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closely with local Singapore and regional partners to conduct single cell transcriptomics, host genomics, BCR sequencing, and bioinformatic anlaysis to rapidly screen and identify antigen-specific
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organoid models for experimental use. Process and handle human biospecimens (e.g., nasal brushes, tissue biopsies) in compliance with institutional biosafety and ethical standards. Design and perform
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contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A
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contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A
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digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior
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imaging, and NMR data acquisition/analysis. Perform bioinformatic sequence analysis to guide experimental design and correlate protein sequence features with amyloid assembly properties. Collaborate with PI
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data