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molecular and cellular biology techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical
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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
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an experienced Bioinformatics Scientist to advance our research in oral microbiome. Responsibilities for this position include: Collaborate with clinicians and experimental scientists to evaluate and integrate
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, metabolomic and metagenomics data Large-scale clinical and molecular phenotypes data, including integrative omics studies Evaluation and application of appropriate bioinformatics/statistical techniques, as
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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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sorting, NGS, and bioinformatics data analysis - Assist with the planning and execution of the entire project - Mentor to Research Assistant when needed Qualifications • Qualifications / Discipline: PhD in
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functional assays (e.g., TEER, immunofluorescence, gene expression analysis) on ALI and organoid systems. Collaborate with molecular biology and bioinformatics teams for downstream analysis (e.g
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bioinformatics experts to assess library quality and performance. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and proposing experimental improvements. Support
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guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational skills, attention to detail, and the ability
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and