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the application of advanced bioinformatics techniques. The ideal candidate will have expertise in quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), transcriptome-wide association
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cells. The projects will utilize protein chemistry, genetic characterization, immunological assays, advanced flow cytometry, clinical specimen processing, bioinformatics and other techniques. As such
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STOmics Stereoseq, applied to cancer tissue. To perform general bioinformatics-related tasks including: Sourcing, downloading, organizing and analysis of microarray, RNAseq, scRNAseq, and spatial analytics
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Qualifications • Masters in bioinformatics, statistics, computer science or related fields with good machine learning skills and software development skills • Hands-on experience on development of AI models in
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://www.reprolabnus.com/ ). They will be conducting molecular lab work, utilizing bioinformatics tools, analyzing data, and managing the molecular laboratory and overseeing the insectary. The ideal candidate will be adept
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biology, cancer biology etc.) Highly motivated, driven and curious Strong writing ability and analytical skills A good publication track record Experience with genomic techniques and bioinformatics will be
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biology, cell and tissue culture, and microscopy Experience with mouse experiments, tissue histology, omics analysis, and/or bioinformatics analysis can be beneficial, though not a requirement Excellent
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. • Good time and resource management skills. Experience: • Experience in some bioinformatics / genetics / statistics would be useful. • Experience in mentoring and training junior researchers (including
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available immediately in Dr Anand JEYASEKHARAN’s research group. This position is to support bioinformatics and biostatistics activities in the laboratory. You may refer to https://csi.nus.edu.sg/researcher
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important role in wet-lab management. Qualifications Applicants should have: Bachelor's or Master's degree in molecular biology, cancer biology, medicine, bioinformatics, computational biology, computer